
===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood      -0.0637502
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -4.2384        0.7388   -5.737   0.0000      0.0000
P02              0.0139        0.0126    1.109   0.2676      0.0000
P03             -0.0620        0.4189   -0.148   0.8824      0.0000
P04              0.1007        0.4507    0.223   0.8232      0.0000
P05             -0.3186        0.4496   -0.708   0.4787      0.0000
P06              0.4261        0.6562    0.649   0.5161      0.0000
P07             -0.7111        0.4575   -1.554   0.1201      0.0000

Correlation matrix of the parameters
   1.000  -0.813  -0.163  -0.150  -0.076  -0.061  -0.252
  -0.813   1.000   0.020  -0.139   0.019  -0.101   0.044
  -0.163   0.020   1.000  -0.044  -0.061   0.043  -0.107
  -0.150  -0.139  -0.044   1.000  -0.033  -0.060  -0.209
  -0.076   0.019  -0.061  -0.033   1.000  -0.013  -0.333
  -0.061  -0.101   0.043  -0.060  -0.013   1.000   0.058
  -0.252   0.044  -0.107  -0.209  -0.333   0.058   1.000

Number of iterations    59
Minutes to convergence     0.00053

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.483522
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0170        0.0031    5.567   0.0000      0.0000
P02             -0.0163        0.0031   -5.189   0.0000      0.0000
P03              0.0117        0.0027    4.331   0.0000      0.0000
P04             -0.0279        0.0076   -3.693   0.0002      0.0000
P05              0.0071        0.0022    3.255   0.0011      0.0000
P06              0.0001        0.0038    0.015   0.9878      0.0000
P07              0.4754        0.1084    4.387   0.0000      0.0000
P08             -0.0757        0.0571   -1.327   0.1844      0.0000
P09              0.1347        0.1914    0.704   0.4817      0.0000
P10             -0.1297        0.1227   -1.058   0.2902      0.0000
P11             -0.5218        0.2503   -2.085   0.0371      0.0000
P12             -0.1359        0.2598   -0.523   0.6008      0.0000
P13             -0.0945        0.0800   -1.181   0.2375      0.0000
P14             -4.1258        2.8475   -1.449   0.1474      0.0000
P15             -0.0571        0.0026  -21.569   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.060   0.046   0.074  -0.046   0.073  -0.303  -0.026  -0.002  -0.015   0.000   0.009  -0.007   0.001   0.095
   0.060   1.000   0.151  -0.081   0.059  -0.090   0.213   0.015   0.019   0.036   0.004  -0.005   0.010   0.010  -0.090
   0.046   0.151   1.000  -0.034  -0.186   0.053  -0.300  -0.011   0.003  -0.010  -0.001   0.006   0.000  -0.001   0.146
   0.074  -0.081  -0.034   1.000  -0.011  -0.100   0.376  -0.003  -0.010   0.007  -0.001  -0.007  -0.008  -0.002  -0.096
  -0.046   0.059  -0.186  -0.011   1.000   0.066  -0.237  -0.011   0.007  -0.001   0.001   0.006   0.001   0.004   0.071
   0.073  -0.090   0.053  -0.100   0.066   1.000   0.320  -0.013  -0.043  -0.043  -0.006  -0.005  -0.023  -0.016  -0.141
  -0.303   0.213  -0.300   0.376  -0.237   0.320   1.000   0.036  -0.033   0.002  -0.004  -0.024  -0.008  -0.005  -0.675
  -0.026   0.015  -0.011  -0.003  -0.011  -0.013   0.036   1.000  -0.098   0.067   0.441  -0.067   0.326   0.233  -0.048
  -0.002   0.019   0.003  -0.010   0.007  -0.043  -0.033  -0.098   1.000   0.571  -0.139   0.287   0.142   0.034   0.033
  -0.015   0.036  -0.010   0.007  -0.001  -0.043   0.002   0.067   0.571   1.000  -0.054  -0.121  -0.161  -0.146   0.015
   0.000   0.004  -0.001  -0.001   0.001  -0.006  -0.004   0.441  -0.139  -0.054   1.000  -0.195   0.089   0.833   0.003
   0.009  -0.005   0.006  -0.007   0.006  -0.005  -0.024  -0.067   0.287  -0.121  -0.195   1.000   0.195  -0.204   0.021
  -0.007   0.010   0.000  -0.008   0.001  -0.023  -0.008   0.326   0.142  -0.161   0.089   0.195   1.000   0.455   0.001
   0.001   0.010  -0.001  -0.002   0.004  -0.016  -0.005   0.233   0.034  -0.146   0.833  -0.204   0.455   1.000  -0.002
   0.095  -0.090   0.146  -0.096   0.071  -0.141  -0.675  -0.048   0.033   0.015   0.003   0.021   0.001  -0.002   1.000

Number of iterations    104
Minutes to convergence     0.01032

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.186286
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -2.9290        0.3628   -8.073   0.0000      0.0000
P02              0.0321        0.0058    5.572   0.0000      0.0000
P03             -0.1034        0.2028   -0.510   0.6103      0.0000
P04             -0.3768        0.2104   -1.791   0.0733      0.0000
P05             -1.5146        0.2622   -5.776   0.0000      0.0000
P06             -0.7982        0.9206   -0.867   0.3859      0.0000
P07             -0.4666        0.2128   -2.192   0.0283      0.0000

Correlation matrix of the parameters
   1.000  -0.778  -0.161  -0.026   0.024  -0.335  -0.273
  -0.778   1.000   0.003  -0.228  -0.011  -0.047   0.007
  -0.161   0.003   1.000  -0.085  -0.059   0.079  -0.106
  -0.026  -0.228  -0.085   1.000  -0.008   0.017  -0.222
   0.024  -0.011  -0.059  -0.008   1.000  -0.080  -0.295
  -0.335  -0.047   0.079   0.017  -0.080   1.000   0.071
  -0.273   0.007  -0.106  -0.222  -0.295   0.071   1.000

Number of iterations    50
Minutes to convergence     0.00067

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.440255
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0174        0.0032    5.439   0.0000      0.0000
P02             -0.0176        0.0033   -5.325   0.0000      0.0000
P03              0.0132        0.0029    4.569   0.0000      0.0000
P04             -0.0243        0.0077   -3.157   0.0016      0.0000
P05              0.0100        0.0023    4.428   0.0000      0.0000
P06             -0.0025        0.0040   -0.623   0.5331      0.0000
P07              0.6384        0.1146    5.572   0.0000      0.0000
P08             -0.0507        0.0399   -1.270   0.2040      0.0000
P09              0.1449        0.1393    1.040   0.2985      0.0000
P10             -0.1202        0.1140   -1.054   0.2917      0.0000
P11             -0.6079        0.2848   -2.134   0.0328      0.0000
P12             -0.0755        0.1180   -0.640   0.5222      0.0000
P13             -0.0097        0.0427   -0.228   0.8199      0.0000
P14             -5.6050        3.0452   -1.841   0.0657      0.0000
P15             -0.0616        0.0028  -22.195   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.086   0.061   0.069  -0.020   0.082  -0.295  -0.010   0.004  -0.004   0.010   0.000  -0.013   0.009   0.075
   0.086   1.000   0.145  -0.092   0.044  -0.054   0.217   0.009   0.001   0.000  -0.004   0.004   0.012  -0.002  -0.092
   0.061   0.145   1.000  -0.001  -0.167   0.024  -0.302  -0.013   0.006  -0.005   0.013   0.001  -0.015   0.010   0.139
   0.069  -0.092  -0.001   1.000   0.002  -0.086   0.369   0.020  -0.034   0.027  -0.043  -0.022  -0.011  -0.041  -0.119
  -0.020   0.044  -0.167   0.002   1.000   0.036  -0.231  -0.010   0.007  -0.006   0.011   0.002  -0.009   0.010   0.053
   0.082  -0.054   0.024  -0.086   0.036   1.000   0.347   0.013  -0.002   0.002  -0.008   0.004   0.019  -0.006  -0.128
  -0.295   0.217  -0.302   0.369  -0.231   0.347   1.000   0.049  -0.032   0.020  -0.056  -0.009   0.047  -0.041  -0.684
  -0.010   0.009  -0.013   0.020  -0.010   0.013   0.049   1.000  -0.003   0.030   0.161  -0.067  -0.075   0.051  -0.043
   0.004   0.001   0.006  -0.034   0.007  -0.002  -0.032  -0.003   1.000   0.487  -0.015   0.097  -0.025   0.040   0.023
  -0.004   0.000  -0.005   0.027  -0.006   0.002   0.020   0.030   0.487   1.000   0.043  -0.376  -0.069   0.020  -0.004
   0.010  -0.004   0.013  -0.043   0.011  -0.008  -0.056   0.161  -0.015   0.043   1.000  -0.172  -0.165   0.967   0.043
   0.000   0.004   0.001  -0.022   0.002   0.004  -0.009  -0.067   0.097  -0.376  -0.172   1.000   0.111  -0.193   0.003
  -0.013   0.012  -0.015  -0.011  -0.009   0.019   0.047  -0.075  -0.025  -0.069  -0.165   0.111   1.000  -0.001  -0.058
   0.009  -0.002   0.010  -0.041   0.010  -0.006  -0.041   0.051   0.040   0.020   0.967  -0.193  -0.001   1.000   0.021
   0.075  -0.092   0.139  -0.119   0.053  -0.128  -0.684  -0.043   0.023  -0.004   0.043   0.003  -0.058   0.021   1.000

Number of iterations    64
Minutes to convergence     0.00655

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.231726
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -2.9949        0.3444   -8.697   0.0000      0.0000
P02              0.0368        0.0054    6.787   0.0000      0.0000
P03             -0.1150        0.1809   -0.636   0.5249      0.0000
P04             -0.2871        0.1782   -1.611   0.1072      0.0000
P05             -1.3372        0.2083   -6.419   0.0000      0.0000
P06             -1.0254        0.8732   -1.174   0.2403      0.0000
P07             -0.2947        0.1779   -1.657   0.0976      0.0000

Correlation matrix of the parameters
   1.000  -0.794  -0.085  -0.006   0.027  -0.363  -0.323
  -0.794   1.000  -0.059  -0.232  -0.037  -0.004   0.063
  -0.085  -0.059   1.000  -0.069  -0.022   0.051  -0.161
  -0.006  -0.232  -0.069   1.000   0.008  -0.040  -0.205
   0.027  -0.037  -0.022   0.008   1.000  -0.074  -0.316
  -0.363  -0.004   0.051  -0.040  -0.074   1.000   0.122
  -0.323   0.063  -0.161  -0.205  -0.316   0.122   1.000

Number of iterations    49
Minutes to convergence     0.00065

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.419579
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0182        0.0033    5.550   0.0000      0.0000
P02             -0.0177        0.0034   -5.237   0.0000      0.0000
P03              0.0143        0.0029    4.885   0.0000      0.0000
P04             -0.0240        0.0082   -2.907   0.0036      0.0000
P05              0.0105        0.0024    4.475   0.0000      0.0000
P06             -0.0022        0.0040   -0.545   0.5859      0.0000
P07              0.7495        0.1171    6.402   0.0000      0.0000
P08             -0.0324        0.0331   -0.978   0.3282      0.0000
P09              0.1076        0.0831    1.295   0.1954      0.0000
P10             -0.0970        0.0745   -1.303   0.1927      0.0000
P11             -0.5108        0.2350   -2.174   0.0297      0.0000
P12             -0.0621        0.0741   -0.838   0.4020      0.0000
P13              0.0012        0.0380    0.031   0.9750      0.0000
P14             -5.0388        2.5688   -1.962   0.0498      0.0000
P15             -0.0644        0.0028  -22.820   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.082   0.044   0.062  -0.031   0.093  -0.286  -0.004   0.000   0.002   0.002  -0.009  -0.022  -0.003   0.088
   0.082   1.000   0.158  -0.105   0.055  -0.065   0.201  -0.003   0.001  -0.001  -0.003   0.008   0.017   0.002  -0.103
   0.044   0.158   1.000  -0.009  -0.158   0.036  -0.294  -0.002   0.000   0.004   0.003  -0.010  -0.025  -0.004   0.149
   0.062  -0.105  -0.009   1.000   0.008  -0.086   0.387   0.022  -0.005  -0.015   0.000   0.004   0.024   0.005  -0.106
  -0.031   0.055  -0.158   0.008   1.000   0.031  -0.230  -0.008   0.002   0.008   0.000  -0.002  -0.009  -0.003   0.034
   0.093  -0.065   0.036  -0.086   0.031   1.000   0.331  -0.017   0.005  -0.001  -0.007   0.012   0.018   0.003  -0.143
  -0.286   0.201  -0.294   0.387  -0.230   0.331   1.000   0.019  -0.004  -0.033  -0.012   0.026   0.078   0.018  -0.690
  -0.004  -0.003  -0.002   0.022  -0.008  -0.017   0.019   1.000  -0.020   0.107   0.136  -0.174  -0.272  -0.023  -0.026
   0.000   0.001   0.000  -0.005   0.002   0.005  -0.004  -0.020   1.000   0.370   0.045   0.135   0.018   0.103   0.008
   0.002  -0.001   0.004  -0.015   0.008  -0.001  -0.033   0.107   0.370   1.000   0.144  -0.502  -0.171   0.080   0.045
   0.002  -0.003   0.003   0.000   0.000  -0.007  -0.012   0.136   0.045   0.144   1.000  -0.241  -0.119   0.960   0.013
  -0.009   0.008  -0.010   0.004  -0.002   0.012   0.026  -0.174   0.135  -0.502  -0.241   1.000   0.246  -0.199  -0.018
  -0.022   0.017  -0.025   0.024  -0.009   0.018   0.078  -0.272   0.018  -0.171  -0.119   0.246   1.000   0.086  -0.074
  -0.003   0.002  -0.004   0.005  -0.003   0.003   0.018  -0.023   0.103   0.080   0.960  -0.199   0.086   1.000  -0.022
   0.088  -0.103   0.149  -0.106   0.034  -0.143  -0.690  -0.026   0.008   0.045   0.013  -0.018  -0.074  -0.022   1.000

Number of iterations    58
Minutes to convergence     0.00595

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.252410
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -3.0098        0.3326   -9.048   0.0000      0.0000
P02              0.0365        0.0053    6.848   0.0000      0.0000
P03             -0.1045        0.1743   -0.600   0.5488      0.0000
P04             -0.2438        0.1791   -1.362   0.1733      0.0000
P05             -1.0839        0.1922   -5.641   0.0000      0.0000
P06             -0.8585        0.7398   -1.161   0.2458      0.0000
P07             -0.2589        0.1636   -1.582   0.1136      0.0000

Correlation matrix of the parameters
   1.000  -0.802  -0.054  -0.064   0.019  -0.297  -0.322
  -0.802   1.000  -0.071  -0.197  -0.046  -0.028   0.071
  -0.054  -0.071   1.000  -0.121  -0.041   0.020  -0.132
  -0.064  -0.197  -0.121   1.000  -0.023   0.001  -0.180
   0.019  -0.046  -0.041  -0.023   1.000  -0.071  -0.311
  -0.297  -0.028   0.020   0.001  -0.071   1.000   0.090
  -0.322   0.071  -0.132  -0.180  -0.311   0.090   1.000

Number of iterations    43
Minutes to convergence     0.00062

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.412401
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0187        0.0033    5.611   0.0000      0.0000
P02             -0.0179        0.0034   -5.246   0.0000      0.0000
P03              0.0147        0.0030    4.841   0.0000      0.0000
P04             -0.0242        0.0084   -2.891   0.0038      0.0000
P05              0.0108        0.0024    4.546   0.0000      0.0000
P06             -0.0020        0.0042   -0.479   0.6320      0.0000
P07              0.7910        0.1156    6.845   0.0000      0.0000
P08             -0.0292        0.0290   -1.005   0.3148      0.0000
P09              0.0699        0.0499    1.401   0.1613      0.0000
P10             -0.0673        0.0436   -1.541   0.1232      0.0000
P11             -0.4073        0.1438   -2.832   0.0046      0.0000
P12             -0.0577        0.0454   -1.271   0.2039      0.0000
P13              0.0013        0.0358    0.036   0.9710      0.0000
P14             -4.1516        1.5782   -2.631   0.0085      0.0000
P15             -0.0656        0.0028  -23.078   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.084   0.069   0.075  -0.045   0.102  -0.278   0.000   0.000   0.004   0.003  -0.007   0.002  -0.002   0.065
   0.084   1.000   0.151  -0.114   0.069  -0.053   0.197  -0.002  -0.012   0.003  -0.001   0.000   0.010   0.004  -0.087
   0.069   0.151   1.000   0.012  -0.174   0.048  -0.281  -0.004  -0.013   0.012   0.005  -0.014   0.007  -0.003   0.109
   0.075  -0.114   0.012   1.000   0.004  -0.112   0.368  -0.002  -0.009   0.005  -0.002   0.013   0.008   0.007  -0.102
  -0.045   0.069  -0.174   0.004   1.000   0.039  -0.223   0.004   0.006   0.002   0.000  -0.002  -0.002  -0.002   0.049
   0.102  -0.053   0.048  -0.112   0.039   1.000   0.326  -0.013  -0.006  -0.020   0.002  -0.009   0.003   0.002  -0.126
  -0.278   0.197  -0.281   0.368  -0.223   0.326   1.000  -0.009  -0.018  -0.033  -0.010   0.012   0.033   0.023  -0.671
   0.000  -0.002  -0.004  -0.002   0.004  -0.013  -0.009   1.000  -0.025   0.142   0.143  -0.298  -0.264  -0.076   0.000
   0.000  -0.012  -0.013  -0.009   0.006  -0.006  -0.018  -0.025   1.000   0.381   0.042   0.156   0.039   0.125   0.017
   0.004   0.003   0.012   0.005   0.002  -0.020  -0.033   0.142   0.381   1.000   0.166  -0.403  -0.261   0.020   0.043
   0.003  -0.001   0.005  -0.002   0.000   0.002  -0.010   0.143   0.042   0.166   1.000  -0.234  -0.140   0.906   0.015
  -0.007   0.000  -0.014   0.013  -0.002  -0.009   0.012  -0.298   0.156  -0.403  -0.234   1.000   0.305  -0.142  -0.009
   0.002   0.010   0.007   0.008  -0.002   0.003   0.033  -0.264   0.039  -0.261  -0.140   0.305   1.000   0.187  -0.056
  -0.002   0.004  -0.003   0.007  -0.002   0.002   0.023  -0.076   0.125   0.020   0.906  -0.142   0.187   1.000  -0.032
   0.065  -0.087   0.109  -0.102   0.049  -0.126  -0.671   0.000   0.017   0.043   0.015  -0.009  -0.056  -0.032   1.000

Number of iterations    52
Minutes to convergence     0.00540

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.266297
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -3.0160        0.3133   -9.627   0.0000      0.0000
P02              0.0363        0.0051    7.086   0.0000      0.0000
P03             -0.0892        0.1714   -0.521   0.6026      0.0000
P04             -0.2202        0.1703   -1.293   0.1961      0.0000
P05             -0.9229        0.1819   -5.074   0.0000      0.0000
P06             -0.6870        0.6513   -1.055   0.2915      0.0000
P07             -0.2576        0.1553   -1.658   0.0973      0.0000

Correlation matrix of the parameters
   1.000  -0.802  -0.119  -0.026   0.003  -0.253  -0.307
  -0.802   1.000  -0.027  -0.229  -0.045  -0.047   0.056
  -0.119  -0.027   1.000  -0.104  -0.047   0.027  -0.113
  -0.026  -0.229  -0.104   1.000  -0.020  -0.026  -0.191
   0.003  -0.045  -0.047  -0.020   1.000  -0.066  -0.323
  -0.253  -0.047   0.027  -0.026  -0.066   1.000   0.084
  -0.307   0.056  -0.113  -0.191  -0.323   0.084   1.000

Number of iterations    41
Minutes to convergence     0.00060

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.408985
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0194        0.0033    5.825   0.0000      0.0000
P02             -0.0181        0.0034   -5.265   0.0000      0.0000
P03              0.0148        0.0030    4.949   0.0000      0.0000
P04             -0.0249        0.0085   -2.948   0.0032      0.0000
P05              0.0109        0.0024    4.607   0.0000      0.0000
P06             -0.0017        0.0042   -0.399   0.6896      0.0000
P07              0.8143        0.1184    6.880   0.0000      0.0000
P08             -0.0326        0.0254   -1.281   0.2000      0.0000
P09              0.0396        0.0357    1.111   0.2667      0.0000
P10             -0.0412        0.0292   -1.414   0.1574      0.0000
P11             -0.3268        0.0955   -3.421   0.0006      0.0000
P12             -0.0542        0.0287   -1.885   0.0594      0.0000
P13              0.0024        0.0311    0.076   0.9392      0.0000
P14             -3.4051        1.0493   -3.245   0.0012      0.0000
P15             -0.0664        0.0029  -22.960   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.072   0.063   0.066  -0.013   0.079  -0.291   0.011   0.015   0.006  -0.006   0.002  -0.014  -0.009   0.064
   0.072   1.000   0.144  -0.117   0.063  -0.048   0.198  -0.001  -0.004  -0.011   0.001   0.000   0.007   0.006  -0.079
   0.063   0.144   1.000   0.000  -0.175   0.030  -0.290  -0.003   0.003   0.020   0.000   0.000  -0.006  -0.009   0.125
   0.066  -0.117   0.000   1.000   0.002  -0.113   0.374   0.002  -0.009  -0.020   0.004  -0.003   0.007   0.011  -0.112
  -0.013   0.063  -0.175   0.002   1.000   0.046  -0.225  -0.006   0.000   0.015   0.000   0.000   0.001  -0.003   0.043
   0.079  -0.048   0.030  -0.113   0.046   1.000   0.330   0.002  -0.004  -0.021   0.001   0.000   0.006   0.009  -0.121
  -0.291   0.198  -0.290   0.374  -0.225   0.330   1.000   0.007  -0.019  -0.073   0.003   0.000   0.039   0.046  -0.678
   0.011  -0.001  -0.003   0.002  -0.006   0.002   0.007   1.000   0.073   0.138   0.143  -0.292  -0.154  -0.095  -0.014
   0.015  -0.004   0.003  -0.009   0.000  -0.004  -0.019   0.073   1.000   0.386  -0.011   0.196   0.064   0.124   0.013
   0.006  -0.011   0.020  -0.020   0.015  -0.021  -0.073   0.138   0.386   1.000   0.156  -0.311  -0.270  -0.078   0.078
  -0.006   0.001   0.000   0.004   0.000   0.001   0.003   0.143  -0.011   0.156   1.000  -0.320  -0.167   0.840   0.003
   0.002   0.000   0.000  -0.003   0.000   0.000   0.000  -0.292   0.196  -0.311  -0.320   1.000   0.373  -0.155  -0.004
  -0.014   0.007  -0.006   0.007   0.001   0.006   0.039  -0.154   0.064  -0.270  -0.167   0.373   1.000   0.238  -0.051
  -0.009   0.006  -0.009   0.011  -0.003   0.009   0.046  -0.095   0.124  -0.078   0.840  -0.155   0.238   1.000  -0.059
   0.064  -0.079   0.125  -0.112   0.043  -0.121  -0.678  -0.014   0.013   0.078   0.003  -0.004  -0.051  -0.059   1.000

Number of iterations    43
Minutes to convergence     0.00458

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.279921
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -2.9997        0.3037   -9.877   0.0000      0.0000
P02              0.0365        0.0050    7.362   0.0000      0.0000
P03             -0.0773        0.1669   -0.463   0.6433      0.0000
P04             -0.2092        0.1662   -1.259   0.2082      0.0000
P05             -0.8106        0.1745   -4.647   0.0000      0.0000
P06             -0.5958        0.5906   -1.009   0.3130      0.0000
P07             -0.2647        0.1497   -1.768   0.0770      0.0000

Correlation matrix of the parameters
   1.000  -0.805  -0.116  -0.043  -0.002  -0.249  -0.299
  -0.805   1.000  -0.035  -0.215  -0.050  -0.034   0.054
  -0.116  -0.035   1.000  -0.102  -0.048   0.050  -0.119
  -0.043  -0.215  -0.102   1.000  -0.022  -0.036  -0.187
  -0.002  -0.050  -0.048  -0.022   1.000  -0.061  -0.325
  -0.249  -0.034   0.050  -0.036  -0.061   1.000   0.074
  -0.299   0.054  -0.119  -0.187  -0.325   0.074   1.000

Number of iterations    40
Minutes to convergence     0.00060

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.406711
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0204        0.0034    5.988   0.0000      0.0000
P02             -0.0184        0.0035   -5.307   0.0000      0.0000
P03              0.0150        0.0030    5.009   0.0000      0.0000
P04             -0.0261        0.0085   -3.062   0.0022      0.0000
P05              0.0111        0.0024    4.620   0.0000      0.0000
P06             -0.0012        0.0042   -0.285   0.7754      0.0000
P07              0.8305        0.1176    7.063   0.0000      0.0000
P08             -0.0400        0.0215   -1.859   0.0630      0.0000
P09              0.0096        0.0247    0.386   0.6992      0.0000
P10             -0.0321        0.0215   -1.498   0.1342      0.0000
P11             -0.2499        0.0645   -3.878   0.0001      0.0000
P12             -0.0437        0.0194   -2.261   0.0238      0.0000
P13             -0.0021        0.0254   -0.082   0.9347      0.0000
P14             -2.7215        0.7176   -3.793   0.0001      0.0000
P15             -0.0671        0.0029  -23.053   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.075   0.070   0.060  -0.027   0.090  -0.280  -0.029   0.014   0.000   0.008  -0.009   0.001   0.018   0.042
   0.075   1.000   0.142  -0.119   0.058  -0.052   0.193   0.019  -0.008  -0.003  -0.006   0.006   0.001  -0.010  -0.067
   0.070   0.142   1.000  -0.004  -0.180   0.026  -0.289  -0.019   0.003   0.010   0.011  -0.015  -0.004   0.011   0.110
   0.060  -0.119  -0.004   1.000   0.006  -0.117   0.369   0.042   0.013   0.008  -0.020   0.007   0.004  -0.019  -0.091
  -0.027   0.058  -0.180   0.006   1.000   0.036  -0.226  -0.007   0.000   0.005   0.008  -0.013  -0.003   0.011   0.040
   0.090  -0.052   0.026  -0.117   0.036   1.000   0.331   0.017  -0.013  -0.011  -0.009   0.018   0.004  -0.015  -0.122
  -0.280   0.193  -0.289   0.369  -0.226   0.331   1.000   0.091  -0.016  -0.034  -0.041   0.038   0.021  -0.027  -0.662
  -0.029   0.019  -0.019   0.042  -0.007   0.017   0.091   1.000   0.168   0.078   0.106  -0.299  -0.043  -0.095  -0.078
   0.014  -0.008   0.003   0.013   0.000  -0.013  -0.016   0.168   1.000   0.318  -0.003   0.127   0.013   0.160   0.011
   0.000  -0.003   0.010   0.008   0.005  -0.011  -0.034   0.078   0.318   1.000   0.158  -0.233  -0.251  -0.168   0.051
   0.008  -0.006   0.011  -0.020   0.008  -0.009  -0.041   0.106  -0.003   0.158   1.000  -0.231  -0.170   0.750   0.034
  -0.009   0.006  -0.015   0.007  -0.013   0.018   0.038  -0.299   0.127  -0.233  -0.231   1.000   0.308  -0.109  -0.022
   0.001   0.001  -0.004   0.004  -0.003   0.004   0.021  -0.043   0.013  -0.251  -0.170   0.308   1.000   0.301  -0.033
   0.018  -0.010   0.011  -0.019   0.011  -0.015  -0.027  -0.095   0.160  -0.168   0.750  -0.109   0.301   1.000  -0.017
   0.042  -0.067   0.110  -0.091   0.040  -0.122  -0.662  -0.078   0.011   0.051   0.034  -0.022  -0.033  -0.017   1.000

Number of iterations    41
Minutes to convergence     0.00435

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.302610
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -2.8693        0.2829  -10.141   0.0000      0.0000
P02              0.0376        0.0046    8.126   0.0000      0.0000
P03             -0.0604        0.1524   -0.396   0.6917      0.0000
P04             -0.2368        0.1565   -1.513   0.1303      0.0000
P05             -0.8129        0.1666   -4.879   0.0000      0.0000
P06             -0.6132        0.5592   -1.097   0.2729      0.0000
P07             -0.2792        0.1412   -1.977   0.0480      0.0000

Correlation matrix of the parameters
   1.000  -0.813  -0.115  -0.041   0.006  -0.255  -0.280
  -0.813   1.000  -0.025  -0.220  -0.031  -0.035   0.061
  -0.115  -0.025   1.000  -0.078  -0.092   0.065  -0.144
  -0.041  -0.220  -0.078   1.000  -0.067  -0.020  -0.192
   0.006  -0.031  -0.092  -0.067   1.000  -0.064  -0.323
  -0.255  -0.035   0.065  -0.020  -0.064   1.000   0.049
  -0.280   0.061  -0.144  -0.192  -0.323   0.049   1.000

Number of iterations    44
Minutes to convergence     0.00063

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.401933
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0231        0.0035    6.679   0.0000      0.0000
P02             -0.0194        0.0035   -5.484   0.0000      0.0000
P03              0.0162        0.0030    5.297   0.0000      0.0000
P04             -0.0292        0.0087   -3.351   0.0008      0.0000
P05              0.0115        0.0024    4.741   0.0000      0.0000
P06             -0.0001        0.0043   -0.012   0.9902      0.0000
P07              0.8355        0.1173    7.120   0.0000      0.0000
P08             -0.0533        0.0178   -2.999   0.0027      0.0000
P09             -0.0314        0.0163   -1.924   0.0543      0.0000
P10             -0.0449        0.0163   -2.751   0.0059      0.0000
P11             -0.1514        0.0430   -3.519   0.0004      0.0000
P12             -0.0269        0.0126   -2.134   0.0329      0.0000
P13             -0.0179        0.0198   -0.905   0.3655      0.0000
P14             -1.8979        0.4804   -3.951   0.0001      0.0000
P15             -0.0683        0.0029  -23.928   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.069   0.051   0.062  -0.037   0.098  -0.274   0.001  -0.005  -0.004   0.016  -0.017   0.005   0.010   0.049
   0.069   1.000   0.130  -0.131   0.069  -0.040   0.199   0.011  -0.045  -0.005   0.003  -0.015   0.005  -0.015  -0.075
   0.051   0.130   1.000   0.008  -0.185   0.034  -0.278   0.011  -0.037   0.000   0.026  -0.028   0.004  -0.003   0.112
   0.062  -0.131   0.008   1.000  -0.003  -0.133   0.356  -0.011   0.004  -0.014  -0.009   0.040  -0.012  -0.011  -0.095
  -0.037   0.069  -0.185  -0.003   1.000   0.025  -0.219   0.015  -0.004   0.006   0.013  -0.018   0.004   0.006   0.011
   0.098  -0.040   0.034  -0.133   0.025   1.000   0.333   0.032   0.013   0.024  -0.018  -0.021   0.009  -0.014  -0.121
  -0.274   0.199  -0.278   0.356  -0.219   0.333   1.000   0.011   0.006  -0.014  -0.055   0.027   0.008  -0.001  -0.665
   0.001   0.011   0.011  -0.011   0.015   0.032   0.011   1.000   0.251  -0.090   0.162  -0.138  -0.042  -0.040   0.000
  -0.005  -0.045  -0.037   0.004  -0.004   0.013   0.006   0.251   1.000   0.342   0.008   0.149   0.045   0.173  -0.008
  -0.004  -0.005   0.000  -0.014   0.006   0.024  -0.014  -0.090   0.342   1.000   0.117  -0.059  -0.168  -0.203   0.040
   0.016   0.003   0.026  -0.009   0.013  -0.018  -0.055   0.162   0.008   0.117   1.000  -0.161  -0.144   0.626   0.052
  -0.017  -0.015  -0.028   0.040  -0.018  -0.021   0.027  -0.138   0.149  -0.059  -0.161   1.000   0.317  -0.163  -0.013
   0.005   0.005   0.004  -0.012   0.004   0.009   0.008  -0.042   0.045  -0.168  -0.144   0.317   1.000   0.417  -0.024
   0.010  -0.015  -0.003  -0.011   0.006  -0.014  -0.001  -0.040   0.173  -0.203   0.626  -0.163   0.417   1.000  -0.053
   0.049  -0.075   0.112  -0.095   0.011  -0.121  -0.665   0.000  -0.008   0.040   0.052  -0.013  -0.024  -0.053   1.000

Number of iterations    37
Minutes to convergence     0.00400

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.334270
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -2.6759        0.2676   -9.999   0.0000      0.0000
P02              0.0366        0.0044    8.375   0.0000      0.0000
P03              0.0753        0.1385    0.544   0.5866      0.0000
P04             -0.1850        0.0692   -2.674   0.0075      0.0000
P05             -0.8295        0.1472   -5.635   0.0000      0.0000
P06             -0.6906        0.5554   -1.244   0.2137      0.0000
P07             -0.2818        0.1177   -2.394   0.0167      0.0000

Correlation matrix of the parameters
   1.000  -0.817  -0.130  -0.035  -0.008  -0.236  -0.340
  -0.817   1.000  -0.046  -0.233   0.019  -0.060  -0.004
  -0.130  -0.046   1.000   0.218   0.049   0.015  -0.316
  -0.035  -0.233   0.218   1.000  -0.661  -0.066   0.576
  -0.008   0.019   0.049  -0.661   1.000  -0.092  -0.260
  -0.236  -0.060   0.015  -0.066  -0.092   1.000   0.104
  -0.340  -0.004  -0.316   0.576  -0.260   0.104   1.000

Number of iterations    37
Minutes to convergence     0.00058

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.393933
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0268        0.0036    7.447   0.0000      0.0000
P02             -0.0192        0.0036   -5.313   0.0000      0.0000
P03              0.0173        0.0031    5.500   0.0000      0.0000
P04             -0.0353        0.0090   -3.938   0.0001      0.0000
P05              0.0120        0.0025    4.740   0.0000      0.0000
P06              0.0013        0.0044    0.301   0.7634      0.0000
P07              0.8750        0.1274    6.869   0.0000      0.0000
P08             -0.0363        0.0123   -2.940   0.0033      0.0000
P09             -0.0630        0.0142   -4.445   0.0000      0.0000
P10             -0.0487        0.0128   -3.805   0.0001      0.0000
P11             -0.0856        0.0318   -2.692   0.0071      0.0000
P12             -0.0288        0.0095   -3.021   0.0025      0.0000
P13             -0.0185        0.0146   -1.268   0.2049      0.0000
P14             -1.5104        0.3878   -3.895   0.0001      0.0000
P15             -0.0705        0.0030  -23.311   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.068   0.074   0.014  -0.019   0.109  -0.287   0.002  -0.014   0.004   0.010  -0.007   0.003   0.003   0.050
   0.068   1.000   0.124  -0.114   0.061  -0.047   0.199   0.012  -0.016  -0.005   0.022  -0.005  -0.014   0.004  -0.082
   0.074   0.124   1.000  -0.027  -0.166   0.041  -0.301  -0.013   0.009  -0.011  -0.001   0.009  -0.001  -0.005   0.133
   0.014  -0.114  -0.027   1.000   0.001  -0.115   0.378  -0.002   0.019  -0.015  -0.019   0.021   0.003   0.000  -0.103
  -0.019   0.061  -0.166   0.001   1.000   0.010  -0.238  -0.008  -0.002   0.001   0.005  -0.004   0.000   0.002   0.050
   0.109  -0.047   0.041  -0.115   0.010   1.000   0.345   0.033  -0.017  -0.004  -0.033  -0.008   0.044   0.004  -0.143
  -0.287   0.199  -0.301   0.378  -0.238   0.345   1.000   0.037  -0.015  -0.013  -0.018  -0.015   0.020   0.049  -0.682
   0.002   0.012  -0.013  -0.002  -0.008   0.033   0.037   1.000   0.090  -0.021   0.219  -0.053  -0.033  -0.138  -0.029
  -0.014  -0.016   0.009   0.019  -0.002  -0.017  -0.015   0.090   1.000   0.417  -0.024   0.194  -0.010   0.260   0.031
   0.004  -0.005  -0.011  -0.015   0.001  -0.004  -0.013  -0.021   0.417   1.000  -0.035  -0.019  -0.145  -0.241   0.027
   0.010   0.022  -0.001  -0.019   0.005  -0.033  -0.018   0.219  -0.024  -0.035   1.000  -0.074  -0.062   0.552   0.006
  -0.007  -0.005   0.009   0.021  -0.004  -0.008  -0.015  -0.053   0.194  -0.019  -0.074   1.000   0.193  -0.160   0.024
   0.003  -0.014  -0.001   0.003   0.000   0.044   0.020  -0.033  -0.010  -0.145  -0.062   0.193   1.000   0.448  -0.030
   0.003   0.004  -0.005   0.000   0.002   0.004   0.049  -0.138   0.260  -0.241   0.552  -0.160   0.448   1.000  -0.099
   0.050  -0.082   0.133  -0.103   0.050  -0.143  -0.682  -0.029   0.031   0.027   0.006   0.024  -0.030  -0.099   1.000

Number of iterations    32
Minutes to convergence     0.00347

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.362623
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -2.5647        0.2495  -10.278   0.0000      0.0000
P02              0.0362        0.0041    8.845   0.0000      0.0000
P03              0.1749        0.1349    1.297   0.1946      0.0000
P04             -0.1165        0.1444   -0.806   0.4200      0.0000
P05             -0.7799        0.1447   -5.391   0.0000      0.0000
P06             -0.7939        0.4492   -1.767   0.0772      0.0000
P07             -0.2805        0.1227   -2.286   0.0222      0.0000

Correlation matrix of the parameters
   1.000  -0.795  -0.113  -0.071   0.004  -0.304  -0.286
  -0.795   1.000  -0.016  -0.236  -0.049   0.013   0.056
  -0.113  -0.016   1.000  -0.107  -0.040  -0.032  -0.156
  -0.071  -0.236  -0.107   1.000  -0.089   0.099  -0.171
   0.004  -0.049  -0.040  -0.089   1.000  -0.033  -0.328
  -0.304   0.013  -0.032   0.099  -0.033   1.000   0.056
  -0.286   0.056  -0.156  -0.171  -0.328   0.056   1.000

Number of iterations    40
Minutes to convergence     0.00058

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.387245
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0287        0.0037    7.797   0.0000      0.0000
P02             -0.0197        0.0037   -5.288   0.0000      0.0000
P03              0.0177        0.0032    5.478   0.0000      0.0000
P04             -0.0398        0.0093   -4.290   0.0000      0.0000
P05              0.0126        0.0026    4.864   0.0000      0.0000
P06              0.0011        0.0046    0.249   0.8036      0.0000
P07              0.9171        0.1335    6.867   0.0000      0.0000
P08             -0.0156        0.0110   -1.420   0.1556      0.0000
P09             -0.0635        0.0121   -5.268   0.0000      0.0000
P10             -0.0399        0.0112   -3.554   0.0004      0.0000
P11             -0.0467        0.0271   -1.720   0.0853      0.0000
P12             -0.0295        0.0082   -3.577   0.0003      0.0000
P13             -0.0240        0.0133   -1.803   0.0713      0.0000
P14             -1.3640        0.3218   -4.239   0.0000      0.0000
P15             -0.0724        0.0031  -23.373   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.059   0.083   0.035  -0.015   0.096  -0.290  -0.003   0.007  -0.004   0.000   0.010   0.001   0.000   0.062
   0.059   1.000   0.119  -0.122   0.063  -0.042   0.198   0.011  -0.003  -0.002   0.000   0.000   0.001   0.005  -0.087
   0.083   0.119   1.000  -0.023  -0.158   0.025  -0.313  -0.004   0.010   0.003   0.004   0.005  -0.003  -0.013   0.145
   0.035  -0.122  -0.023   1.000  -0.011  -0.103   0.385   0.010  -0.006  -0.004  -0.002  -0.015   0.015   0.021  -0.121
  -0.015   0.063  -0.158  -0.011   1.000   0.004  -0.248  -0.008   0.003   0.001   0.003  -0.002  -0.001  -0.002   0.057
   0.096  -0.042   0.025  -0.103   0.004   1.000   0.346   0.014  -0.007  -0.005  -0.004  -0.002   0.007   0.010  -0.144
  -0.290   0.198  -0.313   0.385  -0.248   0.346   1.000   0.018  -0.041  -0.030  -0.011  -0.035   0.024   0.079  -0.697
  -0.003   0.011  -0.004   0.010  -0.008   0.014   0.018   1.000   0.132  -0.130   0.097  -0.099  -0.061  -0.212  -0.005
   0.007  -0.003   0.010  -0.006   0.003  -0.007  -0.041   0.132   1.000   0.351  -0.045   0.164  -0.034   0.265   0.056
  -0.004  -0.002   0.003  -0.004   0.001  -0.005  -0.030  -0.130   0.351   1.000   0.018  -0.022  -0.080  -0.210   0.053
   0.000   0.000   0.004  -0.002   0.003  -0.004  -0.011   0.097  -0.045   0.018   1.000  -0.029  -0.144   0.469   0.013
   0.010   0.000   0.005  -0.015  -0.002  -0.002  -0.035  -0.099   0.164  -0.022  -0.029   1.000   0.190  -0.151   0.049
   0.001   0.001  -0.003   0.015  -0.001   0.007   0.024  -0.061  -0.034  -0.080  -0.144   0.190   1.000   0.419  -0.032
   0.000   0.005  -0.013   0.021  -0.002   0.010   0.079  -0.212   0.265  -0.210   0.469  -0.151   0.419   1.000  -0.127
   0.062  -0.087   0.145  -0.121   0.057  -0.144  -0.697  -0.005   0.056   0.053   0.013   0.049  -0.032  -0.127   1.000

Number of iterations    29
Minutes to convergence     0.00323

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.389280
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -2.4239        0.2370  -10.229   0.0000      0.0000
P02              0.0355        0.0039    9.140   0.0000      0.0000
P03              0.2368        0.1303    1.817   0.0692      0.0000
P04             -0.0095        0.1387   -0.068   0.9457      0.0000
P05             -0.7087        0.1364   -5.197   0.0000      0.0000
P06             -0.9573        0.5542   -1.728   0.0841      0.0000
P07             -0.3201        0.1171   -2.734   0.0063      0.0000

Correlation matrix of the parameters
   1.000  -0.779  -0.134  -0.080  -0.003  -0.278  -0.268
  -0.779   1.000  -0.013  -0.192  -0.034  -0.048   0.036
  -0.134  -0.013   1.000  -0.128  -0.024   0.058  -0.182
  -0.080  -0.192  -0.128   1.000  -0.074  -0.048  -0.168
  -0.003  -0.034  -0.024  -0.074   1.000  -0.092  -0.340
  -0.278  -0.048   0.058  -0.048  -0.092   1.000   0.066
  -0.268   0.036  -0.182  -0.168  -0.340   0.066   1.000

Number of iterations    42
Minutes to convergence     0.00062

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.381165
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0298        0.0038    7.904   0.0000      0.0000
P02             -0.0213        0.0038   -5.551   0.0000      0.0000
P03              0.0185        0.0033    5.593   0.0000      0.0000
P04             -0.0428        0.0094   -4.567   0.0000      0.0000
P05              0.0140        0.0026    5.303   0.0000      0.0000
P06              0.0000        0.0047    0.000   0.9997      0.0000
P07              0.9277        0.1288    7.202   0.0000      0.0000
P08             -0.0003        0.0094   -0.027   0.9782      0.0000
P09             -0.0524        0.0106   -4.933   0.0000      0.0000
P10             -0.0265        0.0097   -2.731   0.0063      0.0000
P11             -0.0189        0.0235   -0.806   0.4200      0.0000
P12             -0.0301        0.0074   -4.083   0.0000      0.0000
P13             -0.0322        0.0126   -2.557   0.0106      0.0000
P14             -1.2404        0.2970   -4.177   0.0000      0.0000
P15             -0.0736        0.0031  -23.744   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.058   0.076   0.056  -0.021   0.108  -0.270   0.000  -0.004   0.005  -0.012   0.007  -0.015  -0.023   0.035
   0.058   1.000   0.130  -0.136   0.073  -0.043   0.189   0.009   0.005  -0.010   0.007  -0.009   0.011   0.026  -0.077
   0.076   0.130   1.000  -0.013  -0.153   0.033  -0.300   0.007   0.004   0.014  -0.010   0.005  -0.018  -0.040   0.120
   0.056  -0.136  -0.013   1.000  -0.007  -0.124   0.354  -0.025   0.023   0.024   0.005  -0.013  -0.011   0.030  -0.087
  -0.021   0.073  -0.153  -0.007   1.000   0.008  -0.240   0.007   0.001   0.009  -0.005  -0.001  -0.011  -0.022   0.034
   0.108  -0.043   0.033  -0.124   0.008   1.000   0.330   0.002   0.000  -0.017   0.014  -0.008   0.021   0.042  -0.115
  -0.270   0.189  -0.300   0.354  -0.240   0.330   1.000  -0.015  -0.005  -0.043   0.035  -0.039   0.055   0.175  -0.677
   0.000   0.009   0.007  -0.025   0.007   0.002  -0.015   1.000   0.119  -0.064   0.041  -0.051  -0.017  -0.286   0.004
  -0.004   0.005   0.004   0.023   0.001   0.000  -0.005   0.119   1.000   0.323  -0.052   0.163  -0.021   0.268   0.031
   0.005  -0.010   0.014   0.024   0.009  -0.017  -0.043  -0.064   0.323   1.000  -0.013   0.023   0.045  -0.217   0.067
  -0.012   0.007  -0.010   0.005  -0.005   0.014   0.035   0.041  -0.052  -0.013   1.000   0.034  -0.078   0.459  -0.029
   0.007  -0.009   0.005  -0.013  -0.001  -0.008  -0.039  -0.051   0.163   0.023   0.034   1.000   0.207  -0.129   0.049
  -0.015   0.011  -0.018  -0.011  -0.011   0.021   0.055  -0.017  -0.021   0.045  -0.078   0.207   1.000   0.425  -0.059
  -0.023   0.026  -0.040   0.030  -0.022   0.042   0.175  -0.286   0.268  -0.217   0.459  -0.129   0.425   1.000  -0.211
   0.035  -0.077   0.120  -0.087   0.034  -0.115  -0.677   0.004   0.031   0.067  -0.029   0.049  -0.059  -0.211   1.000

Number of iterations    29
Minutes to convergence     0.00320

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.412500
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -2.3166        0.2273  -10.193   0.0000      0.0000
P02              0.0352        0.0037    9.458   0.0000      0.0000
P03              0.2924        0.1232    2.374   0.0176      0.0000
P04              0.0541        0.1284    0.422   0.6733      0.0000
P05             -0.6083        0.1266   -4.804   0.0000      0.0000
P06             -1.1141        0.5682   -1.961   0.0499      0.0000
P07             -0.3497        0.1123   -3.114   0.0018      0.0000

Correlation matrix of the parameters
   1.000  -0.770  -0.136  -0.108  -0.002  -0.278  -0.257
  -0.770   1.000  -0.032  -0.151  -0.061  -0.053   0.027
  -0.136  -0.032   1.000  -0.068  -0.061   0.064  -0.182
  -0.108  -0.151  -0.068   1.000  -0.003  -0.102  -0.201
  -0.002  -0.061  -0.061  -0.003   1.000  -0.078  -0.336
  -0.278  -0.053   0.064  -0.102  -0.078   1.000   0.072
  -0.257   0.027  -0.182  -0.201  -0.336   0.072   1.000

Number of iterations    40
Minutes to convergence     0.00058

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.375935
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0306        0.0039    7.826   0.0000      0.0000
P02             -0.0231        0.0040   -5.769   0.0000      0.0000
P03              0.0191        0.0034    5.576   0.0000      0.0000
P04             -0.0446        0.0109   -4.104   0.0000      0.0000
P05              0.0154        0.0027    5.618   0.0000      0.0000
P06             -0.0010        0.0049   -0.197   0.8436      0.0000
P07              0.9587        0.1382    6.938   0.0000      0.0000
P08              0.0069        0.0086    0.805   0.4207      0.0000
P09             -0.0431        0.0095   -4.529   0.0000      0.0000
P10             -0.0187        0.0087   -2.149   0.0317      0.0000
P11             -0.0122        0.0205   -0.597   0.5502      0.0000
P12             -0.0272        0.0064   -4.284   0.0000      0.0000
P13             -0.0322        0.0117   -2.754   0.0059      0.0000
P14             -1.1129        0.2614   -4.257   0.0000      0.0000
P15             -0.0750        0.0032  -23.422   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.033   0.086   0.074  -0.011   0.086  -0.277   0.002   0.014  -0.002  -0.010  -0.002   0.001  -0.001   0.045
   0.033   1.000   0.120  -0.181   0.063   0.003   0.184  -0.003  -0.025  -0.004   0.013  -0.011  -0.003   0.006  -0.074
   0.086   0.120   1.000  -0.014  -0.132   0.023  -0.314  -0.004   0.010   0.001  -0.012  -0.003  -0.001  -0.020   0.136
   0.074  -0.181  -0.014   1.000   0.000  -0.167   0.349   0.054   0.028  -0.005   0.023   0.009   0.028   0.033  -0.082
  -0.011   0.063  -0.132   0.000   1.000  -0.003  -0.253  -0.001   0.008  -0.005  -0.013  -0.016  -0.003  -0.004   0.048
   0.086   0.003   0.023  -0.167  -0.003   1.000   0.338  -0.023  -0.007   0.009   0.003   0.032   0.001   0.012  -0.139
  -0.277   0.184  -0.314   0.349  -0.253   0.338   1.000   0.027  -0.026  -0.028   0.027  -0.035   0.008   0.116  -0.685
   0.002  -0.003  -0.004   0.054  -0.001  -0.023   0.027   1.000   0.132  -0.123   0.027  -0.046  -0.016  -0.287  -0.022
   0.014  -0.025   0.010   0.028   0.008  -0.007  -0.026   0.132   1.000   0.232  -0.063   0.052  -0.107   0.263   0.034
  -0.002  -0.004   0.001  -0.005  -0.005   0.009  -0.028  -0.123   0.232   1.000  -0.011  -0.063   0.081  -0.211   0.056
  -0.010   0.013  -0.012   0.023  -0.013   0.003   0.027   0.027  -0.063  -0.011   1.000   0.071  -0.016   0.456  -0.009
  -0.002  -0.011  -0.003   0.009  -0.016   0.032  -0.035  -0.046   0.052  -0.063   0.071   1.000   0.225  -0.128   0.085
   0.001  -0.003  -0.001   0.028  -0.003   0.001   0.008  -0.016  -0.107   0.081  -0.016   0.225   1.000   0.407   0.001
  -0.001   0.006  -0.020   0.033  -0.004   0.012   0.116  -0.287   0.263  -0.211   0.456  -0.128   0.407   1.000  -0.176
   0.045  -0.074   0.136  -0.082   0.048  -0.139  -0.685  -0.022   0.034   0.056  -0.009   0.085   0.001  -0.176   1.000

Number of iterations    29
Minutes to convergence     0.00323

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.432600
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -2.2156        0.2233   -9.920   0.0000      0.0000
P02              0.0347        0.0037    9.493   0.0000      0.0000
P03              0.3328        0.1187    2.802   0.0051      0.0000
P04              0.1025        0.1303    0.787   0.4314      0.0000
P05             -0.5156        0.1251   -4.122   0.0000      0.0000
P06             -1.2093        0.5539   -2.183   0.0290      0.0000
P07             -0.3680        0.1083   -3.399   0.0007      0.0000

Correlation matrix of the parameters
   1.000  -0.762  -0.166  -0.120  -0.004  -0.298  -0.241
  -0.762   1.000  -0.003  -0.174  -0.038  -0.051   0.018
  -0.166  -0.003   1.000  -0.060  -0.033   0.053  -0.173
  -0.120  -0.174  -0.060   1.000  -0.069  -0.013  -0.201
  -0.004  -0.038  -0.033  -0.069   1.000  -0.117  -0.336
  -0.298  -0.051   0.053  -0.013  -0.117   1.000   0.067
  -0.241   0.018  -0.173  -0.201  -0.336   0.067   1.000

Number of iterations    40
Minutes to convergence     0.00060

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.371485
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0313        0.0040    7.769   0.0000      0.0000
P02             -0.0247        0.0041   -5.947   0.0000      0.0000
P03              0.0196        0.0035    5.587   0.0000      0.0000
P04             -0.0455        0.0116   -3.909   0.0001      0.0000
P05              0.0164        0.0028    5.845   0.0000      0.0000
P06             -0.0015        0.0051   -0.295   0.7676      0.0000
P07              1.0118        0.1409    7.183   0.0000      0.0000
P08              0.0105        0.0080    1.318   0.1875      0.0000
P09             -0.0360        0.0085   -4.210   0.0000      0.0000
P10             -0.0128        0.0078   -1.646   0.0998      0.0000
P11             -0.0143        0.0193   -0.742   0.4583      0.0000
P12             -0.0234        0.0059   -3.959   0.0001      0.0000
P13             -0.0296        0.0099   -2.999   0.0027      0.0000
P14             -1.0177        0.2379   -4.278   0.0000      0.0000
P15             -0.0766        0.0033  -23.450   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.023   0.089   0.090  -0.007   0.081  -0.279  -0.004   0.009   0.012   0.004   0.004   0.000  -0.006   0.051
   0.023   1.000   0.118  -0.203   0.064   0.014   0.188   0.009  -0.020  -0.019  -0.003  -0.006   0.007   0.012  -0.087
   0.089   0.118   1.000  -0.006  -0.126   0.019  -0.315  -0.004   0.001   0.009   0.004   0.007   0.000  -0.025   0.135
   0.090  -0.203  -0.006   1.000   0.008  -0.195   0.315  -0.030   0.080   0.047  -0.004  -0.005  -0.028   0.029  -0.040
  -0.007   0.064  -0.126   0.008   1.000  -0.011  -0.255   0.000  -0.001   0.004   0.005   0.003   0.004  -0.009   0.049
   0.081   0.014   0.019  -0.195  -0.011   1.000   0.335   0.012  -0.026  -0.024  -0.004  -0.008   0.008   0.018  -0.137
  -0.279   0.188  -0.315   0.315  -0.255   0.335   1.000   0.016  -0.002  -0.034  -0.008  -0.036   0.010   0.133  -0.684
  -0.004   0.009  -0.004  -0.030   0.000   0.012   0.016   1.000   0.136  -0.135   0.032  -0.117  -0.054  -0.282  -0.037
   0.009  -0.020   0.001   0.080  -0.001  -0.026  -0.002   0.136   1.000   0.258  -0.045   0.112  -0.036   0.252   0.036
   0.012  -0.019   0.009   0.047   0.004  -0.024  -0.034  -0.135   0.258   1.000   0.003  -0.059   0.033  -0.221   0.062
   0.004  -0.003   0.004  -0.004   0.005  -0.004  -0.008   0.032  -0.045   0.003   1.000   0.048  -0.091   0.442  -0.003
   0.004  -0.006   0.007  -0.005   0.003  -0.008  -0.036  -0.117   0.112  -0.059   0.048   1.000   0.162  -0.130   0.048
   0.000   0.007   0.000  -0.028   0.004   0.008   0.010  -0.054  -0.036   0.033  -0.091   0.162   1.000   0.430  -0.037
  -0.006   0.012  -0.025   0.029  -0.009   0.018   0.133  -0.282   0.252  -0.221   0.442  -0.130   0.430   1.000  -0.194
   0.051  -0.087   0.135  -0.040   0.049  -0.137  -0.684  -0.037   0.036   0.062  -0.003   0.048  -0.037  -0.194   1.000

Number of iterations    27
Minutes to convergence     0.00302

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.450343
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -2.1185        0.2213   -9.574   0.0000      0.0000
P02              0.0340        0.0036    9.463   0.0000      0.0000
P03              0.3573        0.1158    3.086   0.0020      0.0000
P04              0.1497        0.1239    1.209   0.2269      0.0000
P05             -0.4435        0.1202   -3.691   0.0002      0.0000
P06             -1.2396        0.5450   -2.275   0.0229      0.0000
P07             -0.3741        0.1047   -3.574   0.0004      0.0000

Correlation matrix of the parameters
   1.000  -0.764  -0.182  -0.136  -0.016  -0.317  -0.228
  -0.764   1.000   0.006  -0.144  -0.055  -0.027   0.009
  -0.182   0.006   1.000  -0.052  -0.033   0.074  -0.166
  -0.136  -0.144  -0.052   1.000  -0.021  -0.048  -0.203
  -0.016  -0.055  -0.033  -0.021   1.000  -0.093  -0.347
  -0.317  -0.027   0.074  -0.048  -0.093   1.000   0.065
  -0.228   0.009  -0.166  -0.203  -0.347   0.065   1.000

Number of iterations    39
Minutes to convergence     0.00058

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.367638
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0316        0.0041    7.651   0.0000      0.0000
P02             -0.0258        0.0043   -6.014   0.0000      0.0000
P03              0.0200        0.0036    5.565   0.0000      0.0000
P04             -0.0456        0.0109   -4.194   0.0000      0.0000
P05              0.0172        0.0029    5.960   0.0000      0.0000
P06             -0.0018        0.0052   -0.349   0.7272      0.0000
P07              1.0897        0.1430    7.618   0.0000      0.0000
P08              0.0133        0.0075    1.771   0.0766      0.0000
P09             -0.0302        0.0080   -3.790   0.0002      0.0000
P10             -0.0077        0.0071   -1.076   0.2817      0.0000
P11             -0.0183        0.0182   -1.004   0.3152      0.0000
P12             -0.0195        0.0055   -3.571   0.0004      0.0000
P13             -0.0273        0.0093   -2.934   0.0033      0.0000
P14             -0.9617        0.2322   -4.142   0.0000      0.0000
P15             -0.0784        0.0033  -23.664   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.017   0.091   0.063  -0.002   0.108  -0.283   0.009   0.011  -0.012  -0.003   0.003  -0.002  -0.003   0.041
   0.017   1.000   0.117  -0.169   0.063  -0.027   0.191  -0.011  -0.020   0.017   0.020  -0.009   0.004   0.014  -0.072
   0.091   0.117   1.000  -0.031  -0.122   0.035  -0.315   0.000   0.004  -0.004   0.003   0.006  -0.003  -0.020   0.124
   0.063  -0.169  -0.031   1.000  -0.014  -0.126   0.334   0.035   0.017  -0.028   0.011  -0.005  -0.010   0.014  -0.045
  -0.002   0.063  -0.122  -0.014   1.000   0.003  -0.257  -0.001   0.003  -0.008   0.004   0.002   0.002   0.000   0.040
   0.108  -0.027   0.035  -0.126   0.003   1.000   0.337  -0.006   0.009   0.004  -0.044  -0.002   0.001   0.008  -0.130
  -0.283   0.191  -0.315   0.334  -0.257   0.337   1.000   0.002  -0.011  -0.014   0.000  -0.029   0.022   0.136  -0.676
   0.009  -0.011   0.000   0.035  -0.001  -0.006   0.002   1.000   0.103  -0.105   0.036  -0.098  -0.026  -0.309   0.003
   0.011  -0.020   0.004   0.017   0.003   0.009  -0.011   0.103   1.000   0.222  -0.035   0.093  -0.042   0.272   0.018
  -0.012   0.017  -0.004  -0.028  -0.008   0.004  -0.014  -0.105   0.222   1.000   0.021  -0.092   0.010  -0.231   0.034
  -0.003   0.020   0.003   0.011   0.004  -0.044   0.000   0.036  -0.035   0.021   1.000   0.027  -0.076   0.442  -0.014
   0.003  -0.009   0.006  -0.005   0.002  -0.002  -0.029  -0.098   0.093  -0.092   0.027   1.000   0.151  -0.151   0.040
  -0.002   0.004  -0.003  -0.010   0.002   0.001   0.022  -0.026  -0.042   0.010  -0.076   0.151   1.000   0.423  -0.046
  -0.003   0.014  -0.020   0.014   0.000   0.008   0.136  -0.309   0.272  -0.231   0.442  -0.151   0.423   1.000  -0.225
   0.041  -0.072   0.124  -0.045   0.040  -0.130  -0.676   0.003   0.018   0.034  -0.014   0.040  -0.046  -0.225   1.000

Number of iterations    28
Minutes to convergence     0.00355

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.466441
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -2.0242        0.2032   -9.960   0.0000      0.0000
P02              0.0333        0.0036    9.380   0.0000      0.0000
P03              0.3664        0.0412    8.901   0.0000      0.0000
P04              0.1932        0.1264    1.529   0.1264      0.0000
P05             -0.4008        0.1216   -3.297   0.0010      0.0000
P06             -1.2249        0.0359  -34.134   0.0000      0.0000
P07             -0.3613        0.0939   -3.848   0.0001      0.0000

Correlation matrix of the parameters
   1.000  -0.809  -0.526  -0.191  -0.066   0.674  -0.192
  -0.809   1.000   0.131  -0.137  -0.034  -0.615  -0.029
  -0.526   0.131   1.000   0.158   0.063  -0.341   0.534
  -0.191  -0.137   0.158   1.000  -0.086   0.062  -0.244
  -0.066  -0.034   0.063  -0.086   1.000   0.072  -0.394
   0.674  -0.615  -0.341   0.062   0.072   1.000  -0.327
  -0.192  -0.029   0.534  -0.244  -0.394  -0.327   1.000

Number of iterations    25
Minutes to convergence     0.00048

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.364098
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0315        0.0042    7.420   0.0000      0.0000
P02             -0.0264        0.0043   -6.088   0.0000      0.0000
P03              0.0203        0.0037    5.452   0.0000      0.0000
P04             -0.0445        0.0106   -4.217   0.0000      0.0000
P05              0.0177        0.0030    5.955   0.0000      0.0000
P06             -0.0022        0.0053   -0.410   0.6816      0.0000
P07              1.2000        0.1511    7.940   0.0000      0.0000
P08              0.0165        0.0068    2.409   0.0160      0.0000
P09             -0.0252        0.0073   -3.457   0.0005      0.0000
P10             -0.0030        0.0065   -0.457   0.6475      0.0000
P11             -0.0217        0.0171   -1.263   0.2065      0.0000
P12             -0.0156        0.0051   -3.062   0.0022      0.0000
P13             -0.0254        0.0086   -2.948   0.0032      0.0000
P14             -0.9318        0.2156   -4.321   0.0000      0.0000
P15             -0.0804        0.0034  -23.723   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.028   0.099   0.031   0.005   0.102  -0.293   0.000  -0.004   0.004  -0.004   0.003  -0.003  -0.017   0.046
   0.028   1.000   0.120  -0.135   0.067  -0.008   0.194   0.000   0.006  -0.006   0.006  -0.005   0.004   0.026  -0.067
   0.099   0.120   1.000  -0.049  -0.111   0.021  -0.325  -0.003  -0.001   0.005  -0.004   0.005  -0.007  -0.034   0.131
   0.031  -0.135  -0.049   1.000  -0.024  -0.098   0.379   0.011  -0.017   0.005  -0.007   0.001   0.004   0.000  -0.107
   0.005   0.067  -0.111  -0.024   1.000  -0.014  -0.267  -0.002  -0.002   0.002  -0.002   0.001  -0.002  -0.014   0.048
   0.102  -0.008   0.021  -0.098  -0.014   1.000   0.346   0.000   0.004  -0.006   0.006  -0.008   0.006   0.036  -0.119
  -0.293   0.194  -0.325   0.379  -0.267   0.346   1.000   0.013  -0.001  -0.024   0.020  -0.029   0.033   0.171  -0.685
   0.000   0.000  -0.003   0.011  -0.002   0.000   0.013   1.000   0.103  -0.046   0.035  -0.112  -0.042  -0.327  -0.016
  -0.004   0.006  -0.001  -0.017  -0.002   0.004  -0.001   0.103   1.000   0.249  -0.043   0.084  -0.040   0.243   0.000
   0.004  -0.006   0.005   0.005   0.002  -0.006  -0.024  -0.046   0.249   1.000   0.024  -0.118   0.017  -0.228   0.036
  -0.004   0.006  -0.004  -0.007  -0.002   0.006   0.020   0.035  -0.043   0.024   1.000   0.038  -0.072   0.448  -0.030
   0.003  -0.005   0.005   0.001   0.001  -0.008  -0.029  -0.112   0.084  -0.118   0.038   1.000   0.147  -0.149   0.043
  -0.003   0.004  -0.007   0.004  -0.002   0.006   0.033  -0.042  -0.040   0.017  -0.072   0.147   1.000   0.426  -0.048
  -0.017   0.026  -0.034   0.000  -0.014   0.036   0.171  -0.327   0.243  -0.228   0.448  -0.149   0.426   1.000  -0.254
   0.046  -0.067   0.131  -0.107   0.048  -0.119  -0.685  -0.016   0.000   0.036  -0.030   0.043  -0.048  -0.254   1.000

Number of iterations    26
Minutes to convergence     0.00290

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.481151
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.9299        0.2080   -9.278   0.0000      0.0000
P02              0.0327        0.0035    9.386   0.0000      0.0000
P03              0.3610        0.1121    3.221   0.0013      0.0000
P04              0.2276        0.1184    1.923   0.0545      0.0000
P05             -0.3836        0.1168   -3.283   0.0010      0.0000
P06             -1.1843        0.4853   -2.440   0.0147      0.0000
P07             -0.3291        0.0972   -3.385   0.0007      0.0000

Correlation matrix of the parameters
   1.000  -0.770  -0.140  -0.153  -0.047  -0.281  -0.221
  -0.770   1.000  -0.003  -0.122  -0.031  -0.035  -0.022
  -0.140  -0.003   1.000  -0.119  -0.078   0.085  -0.138
  -0.153  -0.122  -0.119   1.000  -0.020  -0.063  -0.164
  -0.047  -0.031  -0.078  -0.020   1.000  -0.107  -0.336
  -0.281  -0.035   0.085  -0.063  -0.107   1.000   0.061
  -0.221  -0.022  -0.138  -0.164  -0.336   0.061   1.000

Number of iterations    38
Minutes to convergence     0.00058

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.360483
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0308        0.0044    6.996   0.0000      0.0000
P02             -0.0264        0.0045   -5.916   0.0000      0.0000
P03              0.0203        0.0038    5.281   0.0000      0.0000
P04             -0.0421        0.0109   -3.874   0.0001      0.0000
P05              0.0181        0.0031    5.871   0.0000      0.0000
P06             -0.0028        0.0055   -0.511   0.6090      0.0000
P07              1.3464        0.1567    8.591   0.0000      0.0000
P08              0.0199        0.0065    3.075   0.0021      0.0000
P09             -0.0212        0.0069   -3.055   0.0023      0.0000
P10              0.0012        0.0062    0.199   0.8426      0.0000
P11             -0.0237        0.0164   -1.446   0.1481      0.0000
P12             -0.0117        0.0048   -2.440   0.0147      0.0000
P13             -0.0239        0.0082   -2.927   0.0034      0.0000
P14             -0.9152        0.2039   -4.489   0.0000      0.0000
P15             -0.0826        0.0035  -23.850   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.019   0.111   0.028   0.014   0.106  -0.304  -0.011   0.005   0.001   0.001   0.006  -0.002  -0.006   0.053
   0.019   1.000   0.115  -0.142   0.065   0.009   0.201  -0.005  -0.006  -0.003   0.007   0.006   0.011   0.023  -0.069
   0.111   0.115   1.000  -0.055  -0.103   0.025  -0.330  -0.012   0.001   0.003  -0.006   0.011  -0.006  -0.032   0.131
   0.028  -0.142  -0.055   1.000  -0.022  -0.102   0.383  -0.017   0.011  -0.005   0.012  -0.012   0.025   0.064  -0.121
   0.014   0.065  -0.103  -0.022   1.000  -0.018  -0.271  -0.003   0.001   0.000  -0.007   0.003  -0.005  -0.016   0.051
   0.106   0.009   0.025  -0.102  -0.018   1.000   0.334   0.008  -0.003  -0.001   0.015  -0.011   0.004   0.030  -0.101
  -0.304   0.201  -0.330   0.383  -0.271   0.334   1.000   0.022  -0.002  -0.022   0.034  -0.038   0.048   0.198  -0.688
  -0.011  -0.005  -0.012  -0.017  -0.003   0.008   0.022   1.000   0.101  -0.047   0.061  -0.125  -0.018  -0.291  -0.038
   0.005  -0.006   0.001   0.011   0.001  -0.003  -0.002   0.101   1.000   0.215  -0.022   0.060  -0.056   0.266   0.000
   0.001  -0.003   0.003  -0.005   0.000  -0.001  -0.022  -0.047   0.215   1.000   0.020  -0.119   0.011  -0.263   0.036
   0.001   0.007  -0.006   0.012  -0.007   0.015   0.034   0.061  -0.022   0.020   1.000   0.032  -0.116   0.431  -0.035
   0.006   0.006   0.011  -0.012   0.003  -0.011  -0.038  -0.125   0.060  -0.119   0.032   1.000   0.145  -0.167   0.047
  -0.002   0.011  -0.006   0.025  -0.005   0.004   0.048  -0.018  -0.056   0.011  -0.116   0.145   1.000   0.387  -0.057
  -0.006   0.023  -0.032   0.064  -0.016   0.030   0.198  -0.291   0.266  -0.263   0.431  -0.167   0.387   1.000  -0.272
   0.053  -0.069   0.131  -0.121   0.051  -0.101  -0.688  -0.038   0.000   0.036  -0.035   0.047  -0.057  -0.272   1.000

Number of iterations    25
Minutes to convergence     0.00275

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.493846
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.8392        0.2029   -9.064   0.0000      0.0000
P02              0.0320        0.0034    9.424   0.0000      0.0000
P03              0.3542        0.1108    3.197   0.0014      0.0000
P04              0.2533        0.1163    2.178   0.0294      0.0000
P05             -0.3641        0.1188   -3.065   0.0022      0.0000
P06             -1.1058        0.4588   -2.410   0.0159      0.0000
P07             -0.2990        0.0958   -3.121   0.0018      0.0000

Correlation matrix of the parameters
   1.000  -0.762  -0.153  -0.178  -0.042  -0.289  -0.202
  -0.762   1.000   0.004  -0.115  -0.032  -0.036  -0.041
  -0.153   0.004   1.000  -0.081  -0.085   0.075  -0.141
  -0.178  -0.115  -0.081   1.000  -0.055  -0.007  -0.155
  -0.042  -0.032  -0.085  -0.055   1.000  -0.103  -0.344
  -0.289  -0.036   0.075  -0.007  -0.103   1.000   0.044
  -0.202  -0.041  -0.141  -0.155  -0.344   0.044   1.000

Number of iterations    38
Minutes to convergence     0.00057

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.356753
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0300        0.0046    6.548   0.0000      0.0000
P02             -0.0264        0.0047   -5.661   0.0000      0.0000
P03              0.0204        0.0040    5.098   0.0000      0.0000
P04             -0.0396        0.0115   -3.434   0.0006      0.0000
P05              0.0185        0.0032    5.797   0.0000      0.0000
P06             -0.0031        0.0055   -0.575   0.5656      0.0000
P07              1.5004        0.1628    9.219   0.0000      0.0000
P08              0.0223        0.0062    3.587   0.0003      0.0000
P09             -0.0181        0.0064   -2.825   0.0047      0.0000
P10              0.0049        0.0058    0.837   0.4028      0.0000
P11             -0.0243        0.0155   -1.571   0.1161      0.0000
P12             -0.0084        0.0046   -1.853   0.0639      0.0000
P13             -0.0232        0.0076   -3.045   0.0023      0.0000
P14             -0.8941        0.1985   -4.504   0.0000      0.0000
P15             -0.0849        0.0035  -23.984   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.011   0.128   0.047   0.021   0.114  -0.312   0.006   0.020  -0.006   0.004   0.012  -0.025  -0.021   0.069
   0.011   1.000   0.114  -0.125   0.065  -0.018   0.201   0.012   0.013  -0.003   0.001  -0.020  -0.028   0.012  -0.069
   0.128   0.114   1.000  -0.045  -0.093   0.018  -0.341   0.004   0.016  -0.002   0.002   0.009  -0.034  -0.045   0.142
   0.047  -0.125  -0.045   1.000  -0.033  -0.046   0.414   0.019   0.034  -0.027  -0.024   0.018   0.018   0.034  -0.127
   0.021   0.065  -0.093  -0.033   1.000  -0.010  -0.273   0.002   0.010  -0.003  -0.004   0.008  -0.015  -0.020   0.052
   0.114  -0.018   0.018  -0.046  -0.010   1.000   0.303  -0.018  -0.052   0.019   0.045  -0.022   0.034   0.043  -0.060
  -0.312   0.201  -0.341   0.414  -0.273   0.303   1.000   0.009  -0.032  -0.005   0.043  -0.049   0.070   0.211  -0.684
   0.006   0.012   0.004   0.019   0.002  -0.018   0.009   1.000   0.104  -0.039   0.052  -0.137  -0.034  -0.305  -0.020
   0.020   0.013   0.016   0.034   0.010  -0.052  -0.032   0.104   1.000   0.239   0.027   0.041  -0.044   0.262   0.026
  -0.006  -0.003  -0.002  -0.027  -0.003   0.019  -0.005  -0.039   0.239   1.000  -0.005  -0.131   0.023  -0.252   0.009
   0.004   0.001   0.002  -0.024  -0.004   0.045   0.043   0.052   0.027  -0.005   1.000   0.030  -0.097   0.474  -0.070
   0.012  -0.020   0.009   0.018   0.008  -0.022  -0.049  -0.137   0.041  -0.131   0.030   1.000   0.150  -0.172   0.063
  -0.025  -0.028  -0.034   0.018  -0.015   0.034   0.070  -0.034  -0.044   0.023  -0.097   0.150   1.000   0.384  -0.070
  -0.021   0.012  -0.045   0.034  -0.020   0.043   0.211  -0.305   0.262  -0.252   0.474  -0.172   0.384   1.000  -0.297
   0.069  -0.069   0.142  -0.127   0.052  -0.060  -0.684  -0.020   0.026   0.009  -0.070   0.063  -0.070  -0.297   1.000

Number of iterations    26
Minutes to convergence     0.00287

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.504219
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.7610        0.1986   -8.868   0.0000      0.0000
P02              0.0313        0.0033    9.362   0.0000      0.0000
P03              0.3468        0.1088    3.188   0.0014      0.0000
P04              0.2735        0.1171    2.335   0.0196      0.0000
P05             -0.3323        0.1148   -2.894   0.0038      0.0000
P06             -0.9952        0.4348   -2.289   0.0221      0.0000
P07             -0.2751        0.0937   -2.937   0.0033      0.0000

Correlation matrix of the parameters
   1.000  -0.758  -0.159  -0.183  -0.059  -0.288  -0.186
  -0.758   1.000   0.007  -0.117  -0.031  -0.032  -0.055
  -0.159   0.007   1.000  -0.054  -0.070   0.069  -0.156
  -0.183  -0.117  -0.054   1.000  -0.073   0.002  -0.172
  -0.059  -0.031  -0.070  -0.073   1.000  -0.080  -0.311
  -0.288  -0.032   0.069   0.002  -0.080   1.000   0.028
  -0.186  -0.055  -0.156  -0.172  -0.311   0.028   1.000

Number of iterations    37
Minutes to convergence     0.00055

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.353258
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0298        0.0047    6.330   0.0000      0.0000
P02             -0.0268        0.0051   -5.273   0.0000      0.0000
P03              0.0208        0.0042    4.991   0.0000      0.0000
P04             -0.0381        0.0117   -3.250   0.0012      0.0000
P05              0.0191        0.0033    5.793   0.0000      0.0000
P06             -0.0027        0.0058   -0.461   0.6448      0.0000
P07              1.6341        0.1672    9.776   0.0000      0.0000
P08              0.0234        0.0060    3.916   0.0001      0.0000
P09             -0.0159        0.0062   -2.563   0.0104      0.0000
P10              0.0080        0.0056    1.436   0.1510      0.0000
P11             -0.0239        0.0133   -1.803   0.0713      0.0000
P12             -0.0061        0.0043   -1.400   0.1615      0.0000
P13             -0.0233        0.0072   -3.230   0.0012      0.0000
P14             -0.8636        0.1876   -4.604   0.0000      0.0000
P15             -0.0868        0.0036  -24.306   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.066   0.136   0.033   0.020   0.098  -0.288  -0.022   0.020  -0.013  -0.036  -0.010  -0.014  -0.002   0.034
   0.066   1.000   0.163  -0.121   0.071   0.025   0.195   0.015  -0.016   0.016   0.031   0.010   0.012   0.007  -0.058
   0.136   0.163   1.000  -0.056  -0.088   0.013  -0.320  -0.015   0.008  -0.006  -0.037  -0.001  -0.010  -0.036   0.117
   0.033  -0.121  -0.056   1.000  -0.025  -0.097   0.387   0.008  -0.008   0.009   0.027   0.000   0.014   0.036  -0.110
   0.020   0.071  -0.088  -0.025   1.000  -0.026  -0.273  -0.007   0.009  -0.008  -0.022  -0.003  -0.018  -0.020   0.050
   0.098   0.025   0.013  -0.097  -0.026   1.000   0.358  -0.018   0.010  -0.009   0.006  -0.017   0.028   0.074  -0.124
  -0.288   0.195  -0.320   0.387  -0.273   0.358   1.000   0.046  -0.013   0.009   0.121  -0.010   0.055   0.215  -0.680
  -0.022   0.015  -0.015   0.008  -0.007  -0.018   0.046   1.000   0.118  -0.046  -0.006  -0.138  -0.007  -0.305  -0.056
   0.020  -0.016   0.008  -0.008   0.009   0.010  -0.013   0.118   1.000   0.223  -0.010   0.050  -0.033   0.256   0.001
  -0.013   0.016  -0.006   0.009  -0.008  -0.009   0.009  -0.046   0.223   1.000   0.016  -0.154  -0.007  -0.258   0.004
  -0.036   0.031  -0.037   0.027  -0.022   0.006   0.121  -0.006  -0.010   0.016   1.000  -0.005  -0.068   0.473  -0.117
  -0.010   0.010  -0.001   0.000  -0.003  -0.017  -0.010  -0.138   0.050  -0.154  -0.005   1.000   0.147  -0.174   0.022
  -0.014   0.012  -0.010   0.014  -0.018   0.028   0.055  -0.007  -0.033  -0.007  -0.068   0.147   1.000   0.403  -0.071
  -0.002   0.007  -0.036   0.036  -0.020   0.074   0.215  -0.305   0.256  -0.258   0.473  -0.174   0.403   1.000  -0.306
   0.034  -0.058   0.117  -0.110   0.050  -0.124  -0.680  -0.056   0.001   0.004  -0.117   0.022  -0.071  -0.306   1.000

Number of iterations    26
Minutes to convergence     0.00285

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.512427
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.6949        0.1960   -8.647   0.0000      0.0000
P02              0.0307        0.0033    9.237   0.0000      0.0000
P03              0.3330        0.1065    3.126   0.0018      0.0000
P04              0.2893        0.1178    2.456   0.0140      0.0000
P05             -0.2968        0.1134   -2.617   0.0089      0.0000
P06             -0.8806        0.4096   -2.150   0.0316      0.0000
P07             -0.2519        0.0929   -2.711   0.0067      0.0000

Correlation matrix of the parameters
   1.000  -0.757  -0.147  -0.186  -0.072  -0.283  -0.185
  -0.757   1.000   0.002  -0.116  -0.027  -0.027  -0.061
  -0.147   0.002   1.000  -0.059  -0.041   0.051  -0.164
  -0.186  -0.116  -0.059   1.000  -0.082   0.005  -0.174
  -0.072  -0.027  -0.041  -0.082   1.000  -0.069  -0.308
  -0.283  -0.027   0.051   0.005  -0.069   1.000   0.030
  -0.185  -0.061  -0.164  -0.174  -0.308   0.030   1.000

Number of iterations    36
Minutes to convergence     0.00835

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.350176
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0303        0.0048    6.284   0.0000      0.0000
P02             -0.0273        0.0049   -5.617   0.0000      0.0000
P03              0.0212        0.0043    4.998   0.0000      0.0000
P04             -0.0375        0.0120   -3.139   0.0017      0.0000
P05              0.0198        0.0034    5.796   0.0000      0.0000
P06             -0.0015        0.0060   -0.248   0.8043      0.0000
P07              1.7463        0.1671   10.453   0.0000      0.0000
P08              0.0236        0.0058    4.083   0.0000      0.0000
P09             -0.0143        0.0061   -2.354   0.0186      0.0000
P10              0.0106        0.0054    1.963   0.0496      0.0000
P11             -0.0232        0.0141   -1.648   0.0993      0.0000
P12             -0.0044        0.0042   -1.036   0.3002      0.0000
P13             -0.0240        0.0069   -3.470   0.0005      0.0000
P14             -0.8301        0.1872   -4.433   0.0000      0.0000
P15             -0.0885        0.0036  -24.441   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.000   0.123   0.006   0.026   0.112  -0.321  -0.008  -0.001  -0.006   0.004   0.008  -0.035  -0.022   0.046
   0.000   1.000   0.113  -0.161   0.083  -0.023   0.153   0.003  -0.007   0.016   0.025  -0.010   0.000   0.010  -0.022
   0.123   0.113   1.000  -0.070  -0.077   0.008  -0.350  -0.008  -0.004   0.000  -0.018   0.006  -0.012  -0.045   0.127
   0.006  -0.161  -0.070   1.000  -0.027  -0.108   0.385   0.005   0.009  -0.008   0.049   0.009  -0.033   0.035  -0.105
   0.026   0.083  -0.077  -0.027   1.000  -0.022  -0.275  -0.004   0.000  -0.004  -0.014   0.005  -0.003  -0.017   0.044
   0.112  -0.023   0.008  -0.108  -0.022   1.000   0.317  -0.002  -0.009   0.005   0.017  -0.019  -0.017   0.020  -0.074
  -0.321   0.153  -0.350   0.385  -0.275   0.317   1.000   0.027   0.015   0.003   0.089  -0.039   0.027   0.223  -0.669
  -0.008   0.003  -0.008   0.005  -0.004  -0.002   0.027   1.000   0.106  -0.019   0.050  -0.131  -0.058  -0.319  -0.035
  -0.001  -0.007  -0.004   0.009   0.000  -0.009   0.015   0.106   1.000   0.195  -0.042   0.028  -0.056   0.253  -0.028
  -0.006   0.016   0.000  -0.008  -0.004   0.005   0.003  -0.019   0.195   1.000   0.032  -0.139   0.018  -0.264   0.006
   0.004   0.025  -0.018   0.049  -0.014   0.017   0.089   0.050  -0.042   0.032   1.000  -0.001  -0.060   0.443  -0.081
   0.008  -0.010   0.006   0.009   0.005  -0.019  -0.039  -0.131   0.028  -0.139  -0.001   1.000   0.149  -0.200   0.053
  -0.035   0.000  -0.012  -0.033  -0.003  -0.017   0.027  -0.058  -0.056   0.018  -0.060   0.149   1.000   0.395  -0.064
  -0.022   0.010  -0.045   0.035  -0.017   0.020   0.223  -0.319   0.253  -0.264   0.443  -0.200   0.395   1.000  -0.327
   0.046  -0.022   0.127  -0.105   0.044  -0.074  -0.669  -0.035  -0.028   0.006  -0.081   0.053  -0.064  -0.327   1.000

Number of iterations    25
Minutes to convergence     0.00277

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.518396
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.6486        0.1946   -8.470   0.0000      0.0000
P02              0.0302        0.0033    9.168   0.0000      0.0000
P03              0.3157        0.1053    2.999   0.0027      0.0000
P04              0.3060        0.1160    2.637   0.0084      0.0000
P05             -0.2607        0.1118   -2.332   0.0197      0.0000
P06             -0.7784        0.3883   -2.005   0.0450      0.0000
P07             -0.2311        0.0927   -2.494   0.0126      0.0000

Correlation matrix of the parameters
   1.000  -0.759  -0.158  -0.191  -0.072  -0.278  -0.188
  -0.759   1.000   0.009  -0.105  -0.033  -0.019  -0.061
  -0.158   0.009   1.000  -0.053  -0.041   0.053  -0.157
  -0.191  -0.105  -0.053   1.000  -0.057   0.005  -0.188
  -0.072  -0.033  -0.041  -0.057   1.000  -0.068  -0.317
  -0.278  -0.019   0.053   0.005  -0.068   1.000   0.028
  -0.188  -0.061  -0.157  -0.188  -0.317   0.028   1.000

Number of iterations    34
Minutes to convergence     0.00055

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.347578
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0310        0.0050    6.204   0.0000      0.0000
P02             -0.0279        0.0051   -5.513   0.0000      0.0000
P03              0.0218        0.0044    4.981   0.0000      0.0000
P04             -0.0373        0.0123   -3.018   0.0025      0.0000
P05              0.0206        0.0035    5.855   0.0000      0.0000
P06             -0.0001        0.0062   -0.014   0.9891      0.0000
P07              1.8390        0.1747   10.525   0.0000      0.0000
P08              0.0235        0.0056    4.219   0.0000      0.0000
P09             -0.0132        0.0059   -2.238   0.0253      0.0000
P10              0.0126        0.0052    2.419   0.0156      0.0000
P11             -0.0226        0.0127   -1.775   0.0759      0.0000
P12             -0.0032        0.0041   -0.786   0.4320      0.0000
P13             -0.0249        0.0069   -3.624   0.0003      0.0000
P14             -0.7963        0.1773   -4.491   0.0000      0.0000
P15             -0.0898        0.0037  -24.294   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.006   0.124   0.026   0.032   0.103  -0.318   0.008  -0.002   0.005  -0.006   0.007  -0.003  -0.028   0.054
  -0.006   1.000   0.113  -0.151   0.073   0.017   0.193  -0.010   0.005  -0.009   0.012  -0.006   0.004   0.036  -0.053
   0.124   0.113   1.000  -0.072  -0.070   0.009  -0.338  -0.005  -0.008  -0.001  -0.006   0.002  -0.007  -0.037   0.116
   0.026  -0.151  -0.072   1.000  -0.026  -0.101   0.377   0.004   0.010   0.000  -0.005   0.000   0.010   0.030  -0.102
   0.032   0.073  -0.070  -0.026   1.000  -0.027  -0.281   0.003  -0.004   0.001  -0.004   0.001  -0.002  -0.022   0.054
   0.103   0.017   0.009  -0.101  -0.027   1.000   0.336   0.009   0.006   0.001   0.004   0.004   0.005   0.022  -0.085
  -0.318   0.193  -0.338   0.377  -0.281   0.336   1.000   0.023   0.036  -0.011   0.049  -0.019   0.037   0.232  -0.676
   0.008  -0.010  -0.005   0.004   0.003   0.009   0.023   1.000   0.127  -0.044   0.034  -0.144  -0.020  -0.278  -0.046
  -0.002   0.005  -0.008   0.010  -0.004   0.006   0.036   0.127   1.000   0.204  -0.007   0.031  -0.071   0.257  -0.047
   0.005  -0.009  -0.001   0.000   0.001   0.001  -0.011  -0.044   0.204   1.000   0.005  -0.163   0.032  -0.249   0.011
  -0.006   0.012  -0.006  -0.005  -0.004   0.004   0.049   0.034  -0.007   0.005   1.000   0.013  -0.020   0.471  -0.078
   0.007  -0.006   0.002   0.000   0.001   0.004  -0.019  -0.144   0.031  -0.163   0.013   1.000   0.143  -0.177   0.029
  -0.003   0.004  -0.007   0.010  -0.002   0.005   0.037  -0.020  -0.071   0.032  -0.020   0.143   1.000   0.404  -0.052
  -0.028   0.036  -0.037   0.030  -0.022   0.022   0.232  -0.278   0.257  -0.249   0.471  -0.177   0.404   1.000  -0.334
   0.054  -0.053   0.116  -0.102   0.054  -0.085  -0.676  -0.046  -0.047   0.011  -0.078   0.029  -0.052  -0.334   1.000

Number of iterations    25
Minutes to convergence     0.00272

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.522328
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.6240        0.1935   -8.393   0.0000      0.0000
P02              0.0301        0.0033    9.189   0.0000      0.0000
P03              0.2991        0.1059    2.823   0.0048      0.0000
P04              0.3252        0.1164    2.794   0.0052      0.0000
P05             -0.2257        0.1126   -2.004   0.0450      0.0000
P06             -0.6909        0.3667   -1.884   0.0596      0.0000
P07             -0.2144        0.0929   -2.308   0.0210      0.0000

Correlation matrix of the parameters
   1.000  -0.766  -0.174  -0.196  -0.068  -0.270  -0.187
  -0.766   1.000   0.033  -0.092  -0.037  -0.010  -0.057
  -0.174   0.033   1.000  -0.065  -0.061   0.039  -0.130
  -0.196  -0.092  -0.065   1.000  -0.038  -0.004  -0.205
  -0.068  -0.037  -0.061  -0.038   1.000  -0.066  -0.337
  -0.270  -0.010   0.039  -0.004  -0.066   1.000   0.038
  -0.187  -0.057  -0.130  -0.205  -0.337   0.038   1.000

Number of iterations    33
Minutes to convergence     0.00053

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.345547
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0316        0.0051    6.171   0.0000      0.0000
P02             -0.0285        0.0052   -5.482   0.0000      0.0000
P03              0.0223        0.0045    4.981   0.0000      0.0000
P04             -0.0368        0.0123   -2.980   0.0029      0.0000
P05              0.0216        0.0036    5.963   0.0000      0.0000
P06              0.0012        0.0064    0.192   0.8476      0.0000
P07              1.9129        0.1785   10.716   0.0000      0.0000
P08              0.0232        0.0055    4.217   0.0000      0.0000
P09             -0.0125        0.0059   -2.128   0.0333      0.0000
P10              0.0139        0.0051    2.706   0.0068      0.0000
P11             -0.0225        0.0138   -1.630   0.1031      0.0000
P12             -0.0025        0.0040   -0.634   0.5262      0.0000
P13             -0.0257        0.0068   -3.788   0.0002      0.0000
P14             -0.7635        0.1782   -4.283   0.0000      0.0000
P15             -0.0907        0.0038  -24.055   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.023   0.124   0.031   0.028   0.117  -0.309   0.000  -0.023  -0.005   0.011  -0.002  -0.004  -0.015   0.046
  -0.023   1.000   0.107  -0.144   0.069   0.015   0.204  -0.002   0.012  -0.001  -0.013  -0.010   0.004   0.021  -0.054
   0.124   0.107   1.000  -0.072  -0.064   0.013  -0.333   0.004  -0.010   0.004  -0.006   0.010  -0.006  -0.046   0.109
   0.031  -0.144  -0.072   1.000  -0.030  -0.076   0.377   0.007  -0.023  -0.006   0.071   0.001  -0.011   0.043  -0.098
   0.028   0.069  -0.064  -0.030   1.000  -0.030  -0.280   0.001  -0.001   0.002  -0.006   0.004  -0.003  -0.021   0.049
   0.117   0.015   0.013  -0.076  -0.030   1.000   0.343  -0.008  -0.015  -0.015  -0.009  -0.022   0.017   0.040  -0.085
  -0.309   0.204  -0.333   0.377  -0.280   0.343   1.000   0.015   0.034  -0.015   0.045  -0.032   0.043   0.247  -0.673
   0.000  -0.002   0.004   0.007   0.001  -0.008   0.015   1.000   0.111  -0.026   0.061  -0.150  -0.041  -0.285  -0.033
  -0.023   0.012  -0.010  -0.023  -0.001  -0.015   0.034   0.111   1.000   0.196  -0.043   0.023  -0.065   0.257  -0.063
  -0.005  -0.001   0.004  -0.006   0.002  -0.015  -0.015  -0.026   0.196   1.000   0.018  -0.164   0.014  -0.263   0.013
   0.011  -0.013  -0.006   0.071  -0.006  -0.009   0.045   0.061  -0.043   0.018   1.000   0.023  -0.080   0.435  -0.051
  -0.002  -0.010   0.010   0.001   0.004  -0.022  -0.032  -0.150   0.023  -0.164   0.023   1.000   0.120  -0.176   0.034
  -0.004   0.004  -0.006  -0.011  -0.003   0.017   0.043  -0.041  -0.065   0.014  -0.080   0.120   1.000   0.401  -0.066
  -0.015   0.021  -0.046   0.043  -0.021   0.040   0.247  -0.285   0.257  -0.263   0.435  -0.176   0.401   1.000  -0.350
   0.046  -0.054   0.109  -0.098   0.049  -0.085  -0.673  -0.033  -0.063   0.013  -0.051   0.034  -0.066  -0.350   1.000

Number of iterations    25
Minutes to convergence     0.00275

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.524786
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.6127        0.1923   -8.388   0.0000      0.0000
P02              0.0301        0.0032    9.247   0.0000      0.0000
P03              0.2843        0.1065    2.670   0.0076      0.0000
P04              0.3444        0.1168    2.948   0.0032      0.0000
P05             -0.1947        0.1130   -1.723   0.0849      0.0000
P06             -0.6159        0.3481   -1.769   0.0769      0.0000
P07             -0.2009        0.0924   -2.175   0.0297      0.0000

Correlation matrix of the parameters
   1.000  -0.775  -0.172  -0.206  -0.075  -0.250  -0.179
  -0.775   1.000   0.044  -0.070  -0.028  -0.011  -0.054
  -0.172   0.044   1.000  -0.074  -0.076   0.019  -0.127
  -0.206  -0.070  -0.074   1.000  -0.032  -0.027  -0.222
  -0.075  -0.028  -0.076  -0.032   1.000  -0.067  -0.347
  -0.250  -0.011   0.019  -0.027  -0.067   1.000   0.052
  -0.179  -0.054  -0.127  -0.222  -0.347   0.052   1.000

Number of iterations    32
Minutes to convergence     0.00760

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.344058
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0322        0.0052    6.172   0.0000      0.0000
P02             -0.0291        0.0053   -5.442   0.0000      0.0000
P03              0.0228        0.0046    5.002   0.0000      0.0000
P04             -0.0361        0.0125   -2.890   0.0039      0.0000
P05              0.0227        0.0037    6.102   0.0000      0.0000
P06              0.0024        0.0065    0.365   0.7151      0.0000
P07              1.9714        0.1780   11.074   0.0000      0.0000
P08              0.0228        0.0054    4.202   0.0000      0.0000
P09             -0.0120        0.0057   -2.114   0.0345      0.0000
P10              0.0147        0.0050    2.919   0.0035      0.0000
P11             -0.0227        0.0133   -1.701   0.0889      0.0000
P12             -0.0021        0.0039   -0.528   0.5975      0.0000
P13             -0.0264        0.0066   -4.010   0.0001      0.0000
P14             -0.7323        0.1749   -4.186   0.0000      0.0000
P15             -0.0914        0.0037  -24.395   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.006   0.117   0.018   0.034   0.105  -0.313   0.005   0.000   0.004   0.007   0.013  -0.010  -0.022   0.039
  -0.006   1.000   0.121  -0.155   0.080   0.005   0.174   0.001   0.025   0.002  -0.023   0.017   0.007   0.001  -0.028
   0.117   0.121   1.000  -0.085  -0.057  -0.007  -0.340   0.003   0.002   0.003  -0.014   0.015  -0.034  -0.060   0.102
   0.018  -0.155  -0.085   1.000  -0.037  -0.088   0.378   0.019  -0.003   0.012   0.063   0.002  -0.004   0.037  -0.088
   0.034   0.080  -0.057  -0.037   1.000  -0.025  -0.285   0.000  -0.004   0.000   0.000   0.001  -0.006  -0.019   0.047
   0.105   0.005  -0.007  -0.088  -0.025   1.000   0.344   0.003   0.010  -0.005  -0.016   0.007   0.012   0.020  -0.076
  -0.313   0.174  -0.340   0.378  -0.285   0.344   1.000   0.024   0.045  -0.007   0.046  -0.015   0.057   0.244  -0.658
   0.005   0.001   0.003   0.019   0.000   0.003   0.024   1.000   0.116  -0.018   0.062  -0.134  -0.027  -0.289  -0.035
   0.000   0.025   0.002  -0.003  -0.004   0.010   0.045   0.116   1.000   0.193  -0.028   0.029  -0.057   0.261  -0.062
   0.004   0.002   0.003   0.012   0.000  -0.005  -0.007  -0.018   0.193   1.000   0.012  -0.155   0.023  -0.272   0.013
   0.007  -0.023  -0.014   0.063   0.000  -0.016   0.046   0.062  -0.028   0.012   1.000   0.018  -0.073   0.441  -0.070
   0.013   0.017   0.015   0.002   0.001   0.007  -0.015  -0.134   0.029  -0.155   0.018   1.000   0.147  -0.181   0.028
  -0.010   0.007  -0.034  -0.004  -0.006   0.012   0.057  -0.027  -0.057   0.023  -0.073   0.147   1.000   0.379  -0.067
  -0.022   0.001  -0.060   0.037  -0.019   0.020   0.244  -0.289   0.261  -0.272   0.441  -0.181   0.379   1.000  -0.362
   0.039  -0.028   0.102  -0.088   0.047  -0.076  -0.658  -0.035  -0.062   0.013  -0.070   0.028  -0.067  -0.362   1.000

Number of iterations    28
Minutes to convergence     0.00305

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.526274
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.6074        0.1913   -8.404   0.0000      0.0000
P02              0.0301        0.0033    9.246   0.0000      0.0000
P03              0.2716        0.1065    2.550   0.0108      0.0000
P04              0.3616        0.1153    3.136   0.0017      0.0000
P05             -0.1691        0.1117   -1.514   0.1299      0.0000
P06             -0.5515        0.3353   -1.645   0.1000      0.0000
P07             -0.1894        0.0920   -2.058   0.0396      0.0000

Correlation matrix of the parameters
   1.000  -0.781  -0.168  -0.216  -0.084  -0.229  -0.166
  -0.781   1.000   0.043  -0.050  -0.020  -0.017  -0.056
  -0.168   0.043   1.000  -0.071  -0.082   0.009  -0.137
  -0.216  -0.050  -0.071   1.000  -0.009  -0.047  -0.243
  -0.084  -0.020  -0.082  -0.009   1.000  -0.068  -0.357
  -0.229  -0.017   0.009  -0.047  -0.068   1.000   0.058
  -0.166  -0.056  -0.137  -0.243  -0.357   0.058   1.000

Number of iterations    31
Minutes to convergence     0.00052

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.343003
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0328        0.0053    6.173   0.0000      0.0000
P02             -0.0296        0.0054   -5.436   0.0000      0.0000
P03              0.0232        0.0047    4.935   0.0000      0.0000
P04             -0.0353        0.0124   -2.844   0.0045      0.0000
P05              0.0237        0.0038    6.225   0.0000      0.0000
P06              0.0033        0.0066    0.503   0.6153      0.0000
P07              2.0177        0.1823   11.070   0.0000      0.0000
P08              0.0225        0.0053    4.228   0.0000      0.0000
P09             -0.0117        0.0056   -2.090   0.0366      0.0000
P10              0.0152        0.0049    3.081   0.0021      0.0000
P11             -0.0230        0.0134   -1.714   0.0866      0.0000
P12             -0.0018        0.0039   -0.458   0.6470      0.0000
P13             -0.0269        0.0065   -4.123   0.0000      0.0000
P14             -0.7037        0.1660   -4.239   0.0000      0.0000
P15             -0.0919        0.0038  -24.131   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.012   0.118   0.010   0.030   0.116  -0.304   0.010  -0.002   0.009  -0.009   0.009  -0.006  -0.031   0.029
  -0.012   1.000   0.119  -0.132   0.078   0.017   0.194   0.001   0.009  -0.001  -0.014  -0.002   0.003   0.010  -0.038
   0.118   0.119   1.000  -0.096  -0.050   0.003  -0.343   0.008  -0.010   0.015  -0.009   0.003  -0.019  -0.062   0.105
   0.010  -0.132  -0.096   1.000  -0.048  -0.077   0.396   0.008  -0.001  -0.001   0.051   0.000  -0.008   0.049  -0.106
   0.030   0.078  -0.050  -0.048   1.000  -0.019  -0.281   0.007  -0.005   0.008  -0.007   0.001  -0.008  -0.031   0.044
   0.116   0.017   0.003  -0.077  -0.019   1.000   0.341  -0.009   0.007  -0.014  -0.009  -0.002   0.018   0.042  -0.076
  -0.304   0.194  -0.343   0.396  -0.281   0.341   1.000   0.007   0.042  -0.027   0.048  -0.021   0.049   0.277  -0.661
   0.010   0.001   0.008   0.008   0.007  -0.009   0.007   1.000   0.125  -0.032   0.089  -0.136  -0.023  -0.265  -0.031
  -0.002   0.009  -0.010  -0.001  -0.005   0.007   0.042   0.125   1.000   0.191  -0.051   0.033  -0.065   0.250  -0.062
   0.009  -0.001   0.015  -0.001   0.008  -0.014  -0.027  -0.032   0.191   1.000   0.042  -0.165   0.027  -0.252   0.020
  -0.009  -0.014  -0.009   0.051  -0.007  -0.009   0.048   0.089  -0.051   0.042   1.000   0.025  -0.114   0.402  -0.056
   0.009  -0.002   0.003   0.000   0.001  -0.002  -0.021  -0.136   0.033  -0.165   0.025   1.000   0.134  -0.185   0.029
  -0.006   0.003  -0.019  -0.008  -0.008   0.018   0.049  -0.023  -0.065   0.027  -0.114   0.134   1.000   0.371  -0.062
  -0.031   0.010  -0.062   0.049  -0.031   0.042   0.277  -0.265   0.250  -0.252   0.402  -0.185   0.371   1.000  -0.381
   0.029  -0.038   0.105  -0.106   0.044  -0.076  -0.661  -0.031  -0.062   0.020  -0.056   0.029  -0.062  -0.381   1.000

Number of iterations    25
Minutes to convergence     0.00272

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527141
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.6046        0.1900   -8.447   0.0000      0.0000
P02              0.0302        0.0033    9.258   0.0000      0.0000
P03              0.2608        0.1065    2.449   0.0143      0.0000
P04              0.3765        0.1146    3.284   0.0010      0.0000
P05             -0.1485        0.1108   -1.340   0.1802      0.0000
P06             -0.4974        0.3272   -1.520   0.1284      0.0000
P07             -0.1794        0.0919   -1.952   0.0510      0.0000

Correlation matrix of the parameters
   1.000  -0.779  -0.164  -0.218  -0.088  -0.218  -0.162
  -0.779   1.000   0.037  -0.048  -0.017  -0.020  -0.059
  -0.164   0.037   1.000  -0.069  -0.080   0.004  -0.145
  -0.218  -0.048  -0.069   1.000   0.001  -0.055  -0.250
  -0.088  -0.017  -0.080   0.001   1.000  -0.070  -0.361
  -0.218  -0.020   0.004  -0.055  -0.070   1.000   0.058
  -0.162  -0.059  -0.145  -0.250  -0.361   0.058   1.000

Number of iterations    31
Minutes to convergence     0.00053

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.342268
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0332        0.0053    6.223   0.0000      0.0000
P02             -0.0301        0.0055   -5.483   0.0000      0.0000
P03              0.0235        0.0047    4.974   0.0000      0.0000
P04             -0.0345        0.0121   -2.849   0.0044      0.0000
P05              0.0246        0.0038    6.408   0.0000      0.0000
P06              0.0041        0.0066    0.621   0.5346      0.0000
P07              2.0550        0.1709   12.026   0.0000      0.0000
P08              0.0222        0.0051    4.350   0.0000      0.0000
P09             -0.0115        0.0054   -2.145   0.0319      0.0000
P10              0.0155        0.0047    3.265   0.0011      0.0000
P11             -0.0234        0.0125   -1.862   0.0625      0.0000
P12             -0.0015        0.0038   -0.410   0.6817      0.0000
P13             -0.0272        0.0061   -4.453   0.0000      0.0000
P14             -0.6794        0.1115   -6.091   0.0000      0.0000
P15             -0.0922        0.0038  -24.072   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.011   0.100   0.037   0.001   0.149  -0.266   0.063  -0.037   0.047  -0.087   0.042  -0.073  -0.262   0.016
   0.011   1.000   0.136  -0.153   0.105   0.001   0.163  -0.036   0.021  -0.034   0.042  -0.022   0.050   0.163  -0.029
   0.100   0.136   1.000  -0.077  -0.078   0.033  -0.314   0.053  -0.060   0.040  -0.092   0.045  -0.082  -0.312   0.095
   0.037  -0.153  -0.077   1.000  -0.017  -0.104   0.364  -0.065   0.051  -0.055   0.125  -0.050   0.090   0.363  -0.104
   0.001   0.105  -0.078  -0.017   1.000   0.016  -0.231   0.051  -0.032   0.051  -0.070   0.028  -0.062  -0.228   0.029
   0.149   0.001   0.033  -0.104   0.016   1.000   0.303  -0.059   0.054  -0.047   0.087  -0.041   0.084   0.300  -0.063
  -0.266   0.163  -0.314   0.364  -0.231   0.303   1.000  -0.116   0.142  -0.123   0.249  -0.113   0.219   0.992  -0.688
   0.063  -0.036   0.053  -0.065   0.051  -0.059  -0.116   1.000   0.187  -0.095   0.191  -0.179   0.063  -0.119  -0.011
  -0.037   0.021  -0.060   0.051  -0.032   0.054   0.142   0.187   1.000   0.239  -0.138   0.065  -0.134   0.144  -0.082
   0.047  -0.034   0.040  -0.055   0.051  -0.047  -0.123  -0.095   0.239   1.000   0.128  -0.211   0.113  -0.126   0.036
  -0.087   0.042  -0.092   0.125  -0.070   0.087   0.249   0.191  -0.138   0.128   1.000   0.082  -0.239   0.249  -0.108
   0.042  -0.022   0.045  -0.050   0.028  -0.041  -0.113  -0.179   0.065  -0.211   0.082   1.000   0.185  -0.115   0.051
  -0.073   0.050  -0.082   0.090  -0.062   0.084   0.219   0.063  -0.134   0.113  -0.239   0.185   1.000   0.222  -0.096
  -0.262   0.163  -0.312   0.363  -0.228   0.300   0.992  -0.119   0.144  -0.126   0.249  -0.115   0.222   1.000  -0.684
   0.016  -0.029   0.095  -0.104   0.029  -0.063  -0.688  -0.011  -0.082   0.036  -0.108   0.051  -0.096  -0.684   1.000

Number of iterations    17
Minutes to convergence     0.00197

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527614
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.6025        0.1910   -8.391   0.0000      0.0000
P02              0.0302        0.0033    9.172   0.0000      0.0000
P03              0.2518        0.1069    2.355   0.0185      0.0000
P04              0.3890        0.1047    3.715   0.0002      0.0000
P05             -0.1321        0.1118   -1.182   0.2372      0.0000
P06             -0.4534        0.3219   -1.409   0.1590      0.0000
P07             -0.1709        0.0904   -1.890   0.0587      0.0000

Correlation matrix of the parameters
   1.000  -0.783  -0.173  -0.178  -0.148  -0.215  -0.161
  -0.783   1.000   0.047  -0.107   0.043  -0.018  -0.065
  -0.173   0.047   1.000  -0.107  -0.041   0.006  -0.152
  -0.178  -0.107  -0.107   1.000   0.066  -0.061  -0.164
  -0.148   0.043  -0.041   0.066   1.000  -0.067  -0.441
  -0.215  -0.018   0.006  -0.061  -0.067   1.000   0.054
  -0.161  -0.065  -0.152  -0.164  -0.441   0.054   1.000

Number of iterations    30
Minutes to convergence     0.00838

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.341760
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0336        0.0055    6.153   0.0000      0.0000
P02             -0.0305        0.0055   -5.514   0.0000      0.0000
P03              0.0238        0.0048    4.958   0.0000      0.0000
P04             -0.0338        0.0120   -2.806   0.0050      0.0000
P05              0.0254        0.0039    6.564   0.0000      0.0000
P06              0.0046        0.0067    0.692   0.4890      0.0000
P07              2.0833        0.1657   12.572   0.0000      0.0000
P08              0.0219        0.0049    4.441   0.0000      0.0000
P09             -0.0114        0.0055   -2.088   0.0368      0.0000
P10              0.0157        0.0047    3.318   0.0009      0.0000
P11             -0.0236        0.0125   -1.883   0.0597      0.0000
P12             -0.0014        0.0038   -0.365   0.7148      0.0000
P13             -0.0274        0.0059   -4.629   0.0000      0.0000
P14             -0.6564        0.1244   -5.275   0.0000      0.0000
P15             -0.0924        0.0038  -24.137   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.018   0.107   0.056  -0.017   0.146  -0.239   0.089  -0.001   0.057  -0.086   0.032  -0.065  -0.201  -0.029
   0.018   1.000   0.153  -0.169   0.118  -0.003   0.132  -0.061   0.011  -0.040   0.072  -0.018   0.073   0.181  -0.007
   0.107   0.153   1.000  -0.073  -0.079   0.023  -0.304   0.065  -0.008   0.042  -0.068   0.022  -0.069  -0.200   0.058
   0.056  -0.169  -0.073   1.000  -0.006  -0.088   0.355  -0.097   0.024  -0.062   0.070  -0.029   0.130   0.301  -0.096
  -0.017   0.118  -0.079  -0.006   1.000   0.007  -0.214   0.082  -0.015   0.051  -0.086   0.021  -0.106  -0.241   0.016
   0.146  -0.003   0.023  -0.088   0.007   1.000   0.330  -0.045   0.012  -0.029   0.059  -0.013   0.065   0.166  -0.055
  -0.239   0.132  -0.304   0.355  -0.214   0.330   1.000  -0.179   0.073  -0.132   0.246  -0.076   0.286   0.893  -0.664
   0.089  -0.061   0.065  -0.097   0.082  -0.045  -0.179   1.000   0.150  -0.101   0.211  -0.168   0.125  -0.066   0.017
  -0.001   0.011  -0.008   0.024  -0.015   0.012   0.073   0.150   1.000   0.206  -0.072   0.038  -0.081   0.286  -0.075
   0.057  -0.040   0.042  -0.062   0.051  -0.029  -0.132  -0.101   0.206   1.000   0.106  -0.186   0.125  -0.154   0.040
  -0.086   0.072  -0.068   0.070  -0.086   0.059   0.246   0.211  -0.072   0.106   1.000   0.053  -0.259   0.289  -0.130
   0.032  -0.018   0.022  -0.029   0.021  -0.013  -0.076  -0.168   0.038  -0.186   0.053   1.000   0.178  -0.173   0.041
  -0.065   0.073  -0.069   0.130  -0.106   0.065   0.286   0.125  -0.081   0.125  -0.259   0.178   1.000   0.177  -0.147
  -0.201   0.181  -0.200   0.301  -0.241   0.166   0.893  -0.066   0.286  -0.154   0.289  -0.173   0.177   1.000  -0.671
  -0.029  -0.007   0.058  -0.096   0.016  -0.055  -0.664   0.017  -0.075   0.040  -0.130   0.041  -0.147  -0.671   1.000

Number of iterations    20
Minutes to convergence     0.00228

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527837
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.6002        0.1598  -10.012   0.0000      0.0000
P02              0.0303        0.0028   10.954   0.0000      0.0000
P03              0.2442        0.1013    2.411   0.0159      0.0000
P04              0.3997        0.1161    3.444   0.0006      0.0000
P05             -0.1192        0.0893   -1.335   0.1819      0.0000
P06             -0.4193        0.3183   -1.317   0.1877      0.0000
P07             -0.1636        0.0801   -2.043   0.0410      0.0000

Correlation matrix of the parameters
   1.000  -0.690   0.001  -0.250   0.325  -0.227  -0.575
  -0.690   1.000  -0.160  -0.058  -0.481  -0.049   0.273
   0.001  -0.160   1.000  -0.071  -0.337  -0.007   0.005
  -0.250  -0.058  -0.071   1.000  -0.024  -0.056  -0.304
   0.325  -0.481  -0.337  -0.024   1.000  -0.114  -0.074
  -0.227  -0.049  -0.007  -0.056  -0.114   1.000   0.086
  -0.575   0.273   0.005  -0.304  -0.074   0.086   1.000

Number of iterations    27
Minutes to convergence     0.00037

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.341422
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0340        0.0055    6.135   0.0000      0.0000
P02             -0.0309        0.0057   -5.442   0.0000      0.0000
P03              0.0240        0.0049    4.882   0.0000      0.0000
P04             -0.0330        0.0129   -2.561   0.0104      0.0000
P05              0.0260        0.0040    6.473   0.0000      0.0000
P06              0.0051        0.0068    0.747   0.4550      0.0000
P07              2.1075        0.1867   11.289   0.0000      0.0000
P08              0.0217        0.0052    4.173   0.0000      0.0000
P09             -0.0113        0.0054   -2.114   0.0345      0.0000
P10              0.0158        0.0047    3.356   0.0008      0.0000
P11             -0.0239        0.0130   -1.832   0.0670      0.0000
P12             -0.0012        0.0037   -0.327   0.7434      0.0000
P13             -0.0276        0.0063   -4.380   0.0000      0.0000
P14             -0.6388        0.1653   -3.865   0.0001      0.0000
P15             -0.0926        0.0038  -24.170   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.012   0.124   0.015   0.039   0.117  -0.309   0.002   0.007   0.024  -0.017   0.007  -0.005  -0.033   0.031
  -0.012   1.000   0.129  -0.132   0.074   0.014   0.183   0.005  -0.017  -0.029   0.020  -0.005  -0.004   0.023  -0.028
   0.124   0.129   1.000  -0.105  -0.037   0.003  -0.341   0.003  -0.004   0.015  -0.016   0.008  -0.012  -0.054   0.089
   0.015  -0.132  -0.105   1.000  -0.040  -0.073   0.400  -0.025   0.052   0.027  -0.007  -0.009   0.043   0.078  -0.110
   0.039   0.074  -0.037  -0.040   1.000  -0.023  -0.288   0.002  -0.007   0.003  -0.008   0.005  -0.009  -0.030   0.047
   0.117   0.014   0.003  -0.073  -0.023   1.000   0.339   0.005  -0.015  -0.034   0.025  -0.008   0.000   0.042  -0.063
  -0.309   0.183  -0.341   0.400  -0.288   0.339   1.000   0.008   0.039  -0.039   0.074  -0.035   0.052   0.301  -0.651
   0.002   0.005   0.003  -0.025   0.002   0.005   0.008   1.000   0.131  -0.016   0.077  -0.129  -0.027  -0.277  -0.031
   0.007  -0.017  -0.004   0.052  -0.007  -0.015   0.039   0.131   1.000   0.170  -0.038   0.029  -0.073   0.246  -0.056
   0.024  -0.029   0.015   0.027   0.003  -0.034  -0.039  -0.016   0.170   1.000   0.050  -0.174   0.020  -0.252   0.025
  -0.017   0.020  -0.016  -0.007  -0.008   0.025   0.074   0.077  -0.038   0.050   1.000   0.023  -0.096   0.423  -0.090
   0.007  -0.005   0.008  -0.009   0.005  -0.008  -0.035  -0.129   0.029  -0.174   0.023   1.000   0.121  -0.192   0.040
  -0.005  -0.004  -0.012   0.043  -0.009   0.000   0.052  -0.027  -0.073   0.020  -0.096   0.121   1.000   0.375  -0.055
  -0.033   0.023  -0.054   0.078  -0.030   0.042   0.301  -0.277   0.246  -0.252   0.423  -0.192   0.375   1.000  -0.403
   0.031  -0.028   0.089  -0.110   0.047  -0.063  -0.651  -0.031  -0.056   0.025  -0.090   0.040  -0.055  -0.403   1.000

Number of iterations    24
Minutes to convergence     0.00268

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527913
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5980        0.1631   -9.798   0.0000      0.0000
P02              0.0303        0.0029   10.586   0.0000      0.0000
P03              0.2381        0.1030    2.312   0.0208      0.0000
P04              0.4085        0.1011    4.043   0.0001      0.0000
P05             -0.1086        0.0738   -1.472   0.1411      0.0000
P06             -0.3937        0.3164   -1.244   0.2134      0.0000
P07             -0.1577        0.0922   -1.710   0.0873      0.0000

Correlation matrix of the parameters
   1.000  -0.702  -0.035  -0.388   0.397  -0.215  -0.386
  -0.702   1.000  -0.104   0.066  -0.554  -0.058   0.080
  -0.035  -0.104   1.000  -0.014  -0.377  -0.013  -0.091
  -0.388   0.066  -0.014   1.000   0.479  -0.059  -0.347
   0.397  -0.554  -0.377   0.479   1.000  -0.166  -0.306
  -0.215  -0.058  -0.013  -0.059  -0.166   1.000   0.093
  -0.386   0.080  -0.091  -0.347  -0.306   0.093   1.000

Number of iterations    25
Minutes to convergence     0.00048

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:45 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.341188
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0342        0.0056    6.064   0.0000      0.0000
P02             -0.0312        0.0058   -5.406   0.0000      0.0000
P03              0.0242        0.0050    4.852   0.0000      0.0000
P04             -0.0324        0.0130   -2.490   0.0128      0.0000
P05              0.0266        0.0041    6.550   0.0000      0.0000
P06              0.0054        0.0069    0.780   0.4354      0.0000
P07              2.1268        0.1894   11.228   0.0000      0.0000
P08              0.0215        0.0052    4.165   0.0000      0.0000
P09             -0.0113        0.0054   -2.096   0.0360      0.0000
P10              0.0158        0.0048    3.322   0.0009      0.0000
P11             -0.0241        0.0129   -1.878   0.0604      0.0000
P12             -0.0011        0.0037   -0.296   0.7671      0.0000
P13             -0.0277        0.0063   -4.421   0.0000      0.0000
P14             -0.6236        0.1642   -3.797   0.0001      0.0000
P15             -0.0927        0.0038  -24.233   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.030   0.131   0.049   0.042   0.098  -0.317  -0.004  -0.017   0.002   0.004   0.007  -0.001  -0.020   0.041
  -0.030   1.000   0.126  -0.140   0.078   0.027   0.189  -0.004   0.008   0.001   0.021  -0.004   0.001   0.027  -0.026
   0.131   0.126   1.000  -0.114  -0.032  -0.004  -0.351   0.001  -0.014   0.000  -0.013   0.006  -0.009  -0.048   0.090
   0.049  -0.140  -0.114   1.000  -0.049  -0.073   0.398  -0.013   0.011   0.007  -0.032   0.001   0.043   0.048  -0.124
   0.042   0.078  -0.032  -0.049   1.000  -0.018  -0.283   0.007  -0.018  -0.002  -0.014   0.007  -0.011  -0.038   0.041
   0.098   0.027  -0.004  -0.073  -0.018   1.000   0.348  -0.006   0.004   0.001   0.025  -0.003   0.006   0.039  -0.061
  -0.317   0.189  -0.351   0.398  -0.283   0.348   1.000   0.003   0.064  -0.001   0.067  -0.030   0.056   0.293  -0.648
  -0.004  -0.004   0.001  -0.013   0.007  -0.006   0.003   1.000   0.150  -0.013   0.087  -0.135  -0.029  -0.263  -0.025
  -0.017   0.008  -0.014   0.011  -0.018   0.004   0.064   0.150   1.000   0.176  -0.066   0.025  -0.086   0.224  -0.075
   0.002   0.001   0.000   0.007  -0.002   0.001  -0.001  -0.013   0.176   1.000   0.023  -0.160   0.016  -0.279   0.009
   0.004   0.021  -0.013  -0.032  -0.014   0.025   0.067   0.087  -0.066   0.023   1.000   0.025  -0.096   0.416  -0.105
   0.007  -0.004   0.006   0.001   0.007  -0.003  -0.030  -0.135   0.025  -0.160   0.025   1.000   0.124  -0.196   0.042
  -0.001   0.001  -0.009   0.043  -0.011   0.006   0.056  -0.029  -0.086   0.016  -0.096   0.124   1.000   0.370  -0.057
  -0.020   0.027  -0.048   0.048  -0.038   0.039   0.293  -0.263   0.224  -0.279   0.416  -0.196   0.370   1.000  -0.419
   0.041  -0.026   0.090  -0.124   0.041  -0.061  -0.648  -0.025  -0.075   0.009  -0.105   0.042  -0.057  -0.419   1.000

Number of iterations    25
Minutes to convergence     0.00283

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527900
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5956        0.1641   -9.726   0.0000      0.0000
P02              0.0304        0.0029   10.536   0.0000      0.0000
P03              0.2331        0.1031    2.261   0.0237      0.0000
P04              0.4158        0.1004    4.143   0.0000      0.0000
P05             -0.1000        0.0732   -1.366   0.1718      0.0000
P06             -0.3749        0.3149   -1.191   0.2338      0.0000
P07             -0.1528        0.0920   -1.661   0.0967      0.0000

Correlation matrix of the parameters
   1.000  -0.705  -0.043  -0.386   0.379  -0.206  -0.384
  -0.705   1.000  -0.096   0.066  -0.537  -0.067   0.075
  -0.043  -0.096   1.000  -0.016  -0.379  -0.015  -0.086
  -0.386   0.066  -0.016   1.000   0.498  -0.056  -0.350
   0.379  -0.537  -0.379   0.498   1.000  -0.185  -0.301
  -0.206  -0.067  -0.015  -0.056  -0.185   1.000   0.103
  -0.384   0.075  -0.086  -0.350  -0.301   0.103   1.000

Number of iterations    25
Minutes to convergence     0.00842

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.341033
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0344        0.0057    6.085   0.0000      0.0000
P02             -0.0314        0.0058   -5.394   0.0000      0.0000
P03              0.0243        0.0050    4.842   0.0000      0.0000
P04             -0.0318        0.0137   -2.322   0.0202      0.0000
P05              0.0271        0.0041    6.596   0.0000      0.0000
P06              0.0056        0.0069    0.814   0.4159      0.0000
P07              2.1425        0.1837   11.662   0.0000      0.0000
P08              0.0213        0.0051    4.203   0.0000      0.0000
P09             -0.0113        0.0054   -2.093   0.0364      0.0000
P10              0.0159        0.0048    3.295   0.0010      0.0000
P11             -0.0243        0.0129   -1.887   0.0592      0.0000
P12             -0.0010        0.0037   -0.272   0.7859      0.0000
P13             -0.0277        0.0062   -4.461   0.0000      0.0000
P14             -0.6107        0.1627   -3.753   0.0002      0.0000
P15             -0.0927        0.0038  -24.279   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.027   0.108   0.076   0.034   0.123  -0.280  -0.013  -0.031   0.007   0.014   0.015   0.009  -0.012   0.016
  -0.027   1.000   0.136  -0.158   0.078   0.026   0.181  -0.002   0.007  -0.009   0.017  -0.007   0.003   0.030  -0.023
   0.108   0.136   1.000  -0.122  -0.044   0.009  -0.339   0.005  -0.007   0.014  -0.035   0.007  -0.021  -0.068   0.077
   0.076  -0.158  -0.122   1.000  -0.021  -0.099   0.381  -0.028   0.008   0.013   0.018   0.005   0.048   0.070  -0.096
   0.034   0.078  -0.044  -0.021   1.000  -0.013  -0.272   0.009  -0.006   0.013  -0.004   0.008  -0.014  -0.037   0.037
   0.123   0.026   0.009  -0.099  -0.013   1.000   0.327   0.007   0.012  -0.015   0.027  -0.011   0.005   0.048  -0.052
  -0.280   0.181  -0.339   0.381  -0.272   0.327   1.000   0.002   0.055  -0.033   0.092  -0.038   0.069   0.331  -0.642
  -0.013  -0.002   0.005  -0.028   0.009   0.007   0.002   1.000   0.117  -0.034   0.083  -0.131  -0.013  -0.259  -0.024
  -0.031   0.007  -0.007   0.008  -0.006   0.012   0.055   0.117   1.000   0.204  -0.060   0.031  -0.073   0.230  -0.059
   0.007  -0.009   0.014   0.013   0.013  -0.015  -0.033  -0.034   0.204   1.000   0.045  -0.164   0.022  -0.254   0.032
   0.014   0.017  -0.035   0.018  -0.004   0.027   0.092   0.083  -0.060   0.045   1.000   0.032  -0.092   0.417  -0.111
   0.015  -0.007   0.007   0.005   0.008  -0.011  -0.038  -0.131   0.031  -0.164   0.032   1.000   0.122  -0.190   0.044
   0.009   0.003  -0.021   0.048  -0.014   0.005   0.069  -0.013  -0.073   0.022  -0.092   0.122   1.000   0.373  -0.069
  -0.012   0.030  -0.068   0.070  -0.037   0.048   0.331  -0.259   0.230  -0.254   0.417  -0.190   0.373   1.000  -0.438
   0.016  -0.023   0.077  -0.096   0.037  -0.052  -0.642  -0.024  -0.059   0.032  -0.111   0.044  -0.069  -0.438   1.000

Number of iterations    26
Minutes to convergence     0.00287

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527841
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5931        0.1650   -9.654   0.0000      0.0000
P02              0.0304        0.0029   10.475   0.0000      0.0000
P03              0.2290        0.1032    2.218   0.0265      0.0000
P04              0.4217        0.0998    4.225   0.0000      0.0000
P05             -0.0930        0.0725   -1.283   0.1993      0.0000
P06             -0.3614        0.3136   -1.152   0.2492      0.0000
P07             -0.1487        0.0917   -1.622   0.1047      0.0000

Correlation matrix of the parameters
   1.000  -0.707  -0.053  -0.382   0.360  -0.194  -0.381
  -0.707   1.000  -0.086   0.064  -0.518  -0.079   0.068
  -0.053  -0.086   1.000  -0.020  -0.378  -0.017  -0.081
  -0.382   0.064  -0.020   1.000   0.517  -0.050  -0.354
   0.360  -0.518  -0.378   0.517   1.000  -0.209  -0.294
  -0.194  -0.079  -0.017  -0.050  -0.209   1.000   0.114
  -0.381   0.068  -0.081  -0.354  -0.294   0.114   1.000

Number of iterations    25
Minutes to convergence     0.00050

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340931
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0346        0.0057    6.037   0.0000      0.0000
P02             -0.0317        0.0059   -5.380   0.0000      0.0000
P03              0.0244        0.0051    4.826   0.0000      0.0000
P04             -0.0312        0.0141   -2.209   0.0272      0.0000
P05              0.0275        0.0041    6.646   0.0000      0.0000
P06              0.0058        0.0070    0.825   0.4092      0.0000
P07              2.1551        0.1852   11.636   0.0000      0.0000
P08              0.0212        0.0051    4.159   0.0000      0.0000
P09             -0.0113        0.0053   -2.141   0.0323      0.0000
P10              0.0159        0.0047    3.368   0.0008      0.0000
P11             -0.0245        0.0130   -1.887   0.0592      0.0000
P12             -0.0009        0.0037   -0.251   0.8021      0.0000
P13             -0.0278        0.0062   -4.475   0.0000      0.0000
P14             -0.5998        0.1639   -3.660   0.0003      0.0000
P15             -0.0928        0.0038  -24.339   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.026   0.108   0.067   0.038   0.111  -0.293   0.005  -0.015   0.014   0.008   0.011  -0.005  -0.026   0.022
  -0.026   1.000   0.136  -0.169   0.078   0.032   0.177  -0.004   0.002  -0.008   0.007  -0.005   0.007   0.024  -0.025
   0.108   0.136   1.000  -0.121  -0.040   0.006  -0.341   0.007  -0.009   0.004  -0.033   0.006  -0.019  -0.061   0.075
   0.067  -0.169  -0.121   1.000  -0.027  -0.113   0.377  -0.012   0.008   0.003   0.045   0.000   0.028   0.069  -0.080
   0.038   0.078  -0.040  -0.027   1.000  -0.013  -0.274   0.007  -0.009   0.009  -0.002   0.007  -0.011  -0.032   0.035
   0.111   0.032   0.006  -0.113  -0.013   1.000   0.329  -0.004   0.015  -0.009   0.017  -0.010   0.012   0.049  -0.055
  -0.293   0.177  -0.341   0.377  -0.274   0.329   1.000  -0.004   0.056  -0.025   0.091  -0.036   0.066   0.323  -0.635
   0.005  -0.004   0.007  -0.012   0.007  -0.004  -0.004   1.000   0.123  -0.022   0.079  -0.127  -0.027  -0.277  -0.020
  -0.015   0.002  -0.009   0.008  -0.009   0.015   0.056   0.123   1.000   0.182  -0.061   0.038  -0.063   0.231  -0.067
   0.014  -0.008   0.004   0.003   0.009  -0.009  -0.025  -0.022   0.182   1.000   0.040  -0.165   0.028  -0.254   0.020
   0.008   0.007  -0.033   0.045  -0.002   0.017   0.091   0.079  -0.061   0.040   1.000   0.027  -0.094   0.421  -0.101
   0.011  -0.005   0.006   0.000   0.007  -0.010  -0.036  -0.127   0.038  -0.165   0.027   1.000   0.118  -0.190   0.043
  -0.005   0.007  -0.019   0.028  -0.011   0.012   0.066  -0.027  -0.063   0.028  -0.094   0.118   1.000   0.379  -0.068
  -0.026   0.024  -0.061   0.069  -0.032   0.049   0.323  -0.277   0.231  -0.254   0.421  -0.190   0.379   1.000  -0.428
   0.022  -0.025   0.075  -0.080   0.035  -0.055  -0.635  -0.020  -0.067   0.020  -0.101   0.043  -0.068  -0.428   1.000

Number of iterations    24
Minutes to convergence     0.00267

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527759
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5906        0.1659   -9.589   0.0000      0.0000
P02              0.0304        0.0029   10.408   0.0000      0.0000
P03              0.2256        0.1034    2.182   0.0291      0.0000
P04              0.4266        0.0994    4.293   0.0000      0.0000
P05             -0.0873        0.0720   -1.213   0.2251      0.0000
P06             -0.3516        0.3122   -1.126   0.2601      0.0000
P07             -0.1454        0.0913   -1.591   0.1116      0.0000

Correlation matrix of the parameters
   1.000  -0.710  -0.062  -0.379   0.340  -0.180  -0.377
  -0.710   1.000  -0.078   0.063  -0.497  -0.094   0.062
  -0.062  -0.078   1.000  -0.023  -0.376  -0.020  -0.077
  -0.379   0.063  -0.023   1.000   0.532  -0.041  -0.359
   0.340  -0.497  -0.376   0.532   1.000  -0.238  -0.286
  -0.180  -0.094  -0.020  -0.041  -0.238   1.000   0.125
  -0.377   0.062  -0.077  -0.359  -0.286   0.125   1.000

Number of iterations    25
Minutes to convergence     0.00050

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340864
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0347        0.0058    5.990   0.0000      0.0000
P02             -0.0318        0.0059   -5.379   0.0000      0.0000
P03              0.0245        0.0051    4.804   0.0000      0.0000
P04             -0.0308        0.0142   -2.163   0.0305      0.0000
P05              0.0278        0.0042    6.635   0.0000      0.0000
P06              0.0059        0.0071    0.832   0.4056      0.0000
P07              2.1654        0.1904   11.371   0.0000      0.0000
P08              0.0211        0.0051    4.151   0.0000      0.0000
P09             -0.0113        0.0053   -2.132   0.0330      0.0000
P10              0.0158        0.0047    3.400   0.0007      0.0000
P11             -0.0246        0.0129   -1.905   0.0567      0.0000
P12             -0.0009        0.0037   -0.233   0.8157      0.0000
P13             -0.0278        0.0062   -4.497   0.0000      0.0000
P14             -0.5907        0.1614   -3.660   0.0003      0.0000
P15             -0.0928        0.0038  -24.135   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.027   0.114   0.060   0.040   0.105  -0.301   0.007  -0.024   0.015   0.004   0.014  -0.007  -0.040   0.031
  -0.027   1.000   0.127  -0.171   0.077   0.034   0.181  -0.005   0.014   0.002   0.004  -0.006   0.007   0.027  -0.033
   0.114   0.127   1.000  -0.121  -0.035  -0.003  -0.350   0.000  -0.006   0.012  -0.028   0.006  -0.018  -0.062   0.085
   0.060  -0.171  -0.121   1.000  -0.042  -0.112   0.380  -0.004   0.007  -0.003   0.044  -0.005   0.022   0.070  -0.085
   0.040   0.077  -0.035  -0.042   1.000  -0.015  -0.286   0.003  -0.005   0.004  -0.002   0.006  -0.006  -0.026   0.046
   0.105   0.034  -0.003  -0.112  -0.015   1.000   0.336  -0.005   0.016  -0.007   0.015  -0.010   0.014   0.053  -0.065
  -0.301   0.181  -0.350   0.380  -0.286   0.336   1.000   0.005   0.060  -0.019   0.079  -0.037   0.057   0.315  -0.642
   0.007  -0.005   0.000  -0.004   0.003  -0.005   0.005   1.000   0.131  -0.016   0.084  -0.129  -0.028  -0.274  -0.027
  -0.024   0.014  -0.006   0.007  -0.005   0.016   0.060   0.131   1.000   0.181  -0.065   0.034  -0.071   0.231  -0.068
   0.015   0.002   0.012  -0.003   0.004  -0.007  -0.019  -0.016   0.181   1.000   0.037  -0.171   0.027  -0.254   0.011
   0.004   0.004  -0.028   0.044  -0.002   0.015   0.079   0.084  -0.065   0.037   1.000   0.027  -0.100   0.415  -0.088
   0.014  -0.006   0.006  -0.005   0.006  -0.010  -0.037  -0.129   0.034  -0.171   0.027   1.000   0.122  -0.188   0.040
  -0.007   0.007  -0.018   0.022  -0.006   0.014   0.057  -0.028  -0.071   0.027  -0.100   0.122   1.000   0.372  -0.058
  -0.040   0.027  -0.062   0.070  -0.026   0.053   0.315  -0.274   0.231  -0.254   0.415  -0.188   0.372   1.000  -0.416
   0.031  -0.033   0.085  -0.085   0.046  -0.065  -0.642  -0.027  -0.068   0.011  -0.088   0.040  -0.058  -0.416   1.000

Number of iterations    26
Minutes to convergence     0.00290

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527669
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5882        0.1732   -9.169   0.0000      0.0000
P02              0.0304        0.0029   10.413   0.0000      0.0000
P03              0.2228        0.1033    2.156   0.0311      0.0000
P04              0.4306        0.0961    4.483   0.0000      0.0000
P05             -0.0826        0.0723   -1.144   0.2527      0.0000
P06             -0.3446        0.3151   -1.093   0.2742      0.0000
P07             -0.1427        0.0840   -1.699   0.0892      0.0000

Correlation matrix of the parameters
   1.000  -0.712  -0.072  -0.409   0.342  -0.206  -0.466
  -0.712   1.000  -0.079   0.031  -0.475  -0.086   0.157
  -0.072  -0.079   1.000  -0.043  -0.368  -0.016  -0.041
  -0.409   0.031  -0.043   1.000   0.553   0.010  -0.225
   0.342  -0.475  -0.368   0.553   1.000  -0.290  -0.365
  -0.206  -0.086  -0.016   0.010  -0.290   1.000   0.168
  -0.466   0.157  -0.041  -0.225  -0.365   0.168   1.000

Number of iterations    24
Minutes to convergence     0.00882

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340821
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0348        0.0059    5.942   0.0000      0.0000
P02             -0.0320        0.0060   -5.361   0.0000      0.0000
P03              0.0246        0.0051    4.795   0.0000      0.0000
P04             -0.0303        0.0142   -2.131   0.0331      0.0000
P05              0.0281        0.0042    6.654   0.0000      0.0000
P06              0.0059        0.0071    0.833   0.4048      0.0000
P07              2.1738        0.1906   11.403   0.0000      0.0000
P08              0.0210        0.0050    4.183   0.0000      0.0000
P09             -0.0113        0.0053   -2.123   0.0338      0.0000
P10              0.0158        0.0047    3.385   0.0007      0.0000
P11             -0.0247        0.0129   -1.921   0.0548      0.0000
P12             -0.0008        0.0037   -0.218   0.8272      0.0000
P13             -0.0278        0.0062   -4.515   0.0000      0.0000
P14             -0.5830        0.1627   -3.583   0.0003      0.0000
P15             -0.0928        0.0038  -24.457   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.039   0.125   0.047   0.039   0.098  -0.325   0.022  -0.045  -0.003  -0.003   0.017  -0.007  -0.056   0.045
  -0.039   1.000   0.129  -0.165   0.083   0.043   0.184  -0.006   0.000  -0.005   0.003   0.000   0.007   0.018  -0.024
   0.125   0.129   1.000  -0.115  -0.040  -0.009  -0.345   0.012  -0.003   0.008  -0.025   0.003  -0.021  -0.059   0.075
   0.047  -0.165  -0.115   1.000  -0.046  -0.106   0.384  -0.008  -0.003  -0.006   0.036  -0.003   0.019   0.059  -0.080
   0.039   0.083  -0.040  -0.046   1.000  -0.012  -0.276   0.008   0.012   0.003   0.000   0.000  -0.005  -0.012   0.035
   0.098   0.043  -0.009  -0.106  -0.012   1.000   0.347  -0.011   0.015  -0.003   0.015  -0.007   0.014   0.052  -0.067
  -0.325   0.184  -0.345   0.384  -0.276   0.347   1.000  -0.017   0.040  -0.018   0.076  -0.028   0.060   0.301  -0.628
   0.022  -0.006   0.012  -0.008   0.008  -0.011  -0.017   1.000   0.114  -0.021   0.095  -0.128  -0.017  -0.264  -0.015
  -0.045   0.000  -0.003  -0.003   0.012   0.015   0.040   0.114   1.000   0.178  -0.057   0.031  -0.061   0.247  -0.049
  -0.003  -0.005   0.008  -0.006   0.003  -0.003  -0.018  -0.021   0.178   1.000   0.025  -0.166   0.021  -0.268   0.019
  -0.003   0.003  -0.025   0.036   0.000   0.015   0.076   0.095  -0.057   0.025   1.000   0.023  -0.101   0.417  -0.090
   0.017   0.000   0.003  -0.003   0.000  -0.007  -0.028  -0.128   0.031  -0.166   0.023   1.000   0.118  -0.193   0.034
  -0.007   0.007  -0.021   0.019  -0.005   0.014   0.060  -0.017  -0.061   0.021  -0.101   0.118   1.000   0.372  -0.065
  -0.056   0.018  -0.059   0.059  -0.012   0.052   0.301  -0.264   0.247  -0.268   0.417  -0.193   0.372   1.000  -0.411
   0.045  -0.024   0.075  -0.080   0.035  -0.067  -0.628  -0.015  -0.049   0.019  -0.090   0.034  -0.065  -0.411   1.000

Number of iterations    25
Minutes to convergence     0.00278

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527579
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5855        0.1235  -12.837   0.0000      0.0000
P02              0.0304        0.0030   10.238   0.0000      0.0000
P03              0.2204        0.1039    2.122   0.0338      0.0000
P04              0.4337        0.0983    4.413   0.0000      0.0000
P05             -0.0788        0.0702   -1.122   0.2619      0.0000
P06             -0.3401        0.2663   -1.277   0.2016      0.0000
P07             -0.1405        0.0750   -1.873   0.0611      0.0000

Correlation matrix of the parameters
   1.000  -0.839  -0.059  -0.352   0.245   0.301   0.201
  -0.839   1.000  -0.060   0.054  -0.415  -0.234  -0.150
  -0.059  -0.060   1.000  -0.023  -0.359  -0.062  -0.169
  -0.352   0.054  -0.023   1.000   0.617  -0.133  -0.677
   0.245  -0.415  -0.359   0.617   1.000  -0.245  -0.228
   0.301  -0.234  -0.062  -0.133  -0.245   1.000  -0.279
   0.201  -0.150  -0.169  -0.677  -0.228  -0.279   1.000

Number of iterations    21
Minutes to convergence     0.00048

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340793
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0349        0.0059    5.930   0.0000      0.0000
P02             -0.0321        0.0060   -5.354   0.0000      0.0000
P03              0.0247        0.0051    4.806   0.0000      0.0000
P04             -0.0300        0.0142   -2.116   0.0343      0.0000
P05              0.0283        0.0042    6.687   0.0000      0.0000
P06              0.0060        0.0071    0.837   0.4024      0.0000
P07              2.1807        0.1849   11.795   0.0000      0.0000
P08              0.0210        0.0051    4.122   0.0000      0.0000
P09             -0.0113        0.0053   -2.130   0.0332      0.0000
P10              0.0158        0.0047    3.387   0.0007      0.0000
P11             -0.0248        0.0128   -1.933   0.0533      0.0000
P12             -0.0008        0.0036   -0.206   0.8369      0.0000
P13             -0.0278        0.0062   -4.508   0.0000      0.0000
P14             -0.5766        0.1641   -3.513   0.0004      0.0000
P15             -0.0929        0.0038  -24.420   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.028   0.115   0.049   0.024   0.105  -0.304   0.031  -0.031   0.001  -0.010   0.012  -0.011  -0.050   0.015
  -0.028   1.000   0.131  -0.173   0.088   0.037   0.178  -0.008   0.009  -0.006   0.007  -0.004   0.011   0.029  -0.023
   0.115   0.131   1.000  -0.105  -0.045  -0.001  -0.337   0.005  -0.011   0.014  -0.025   0.007  -0.022  -0.061   0.067
   0.049  -0.173  -0.105   1.000  -0.039  -0.117   0.372  -0.004   0.010  -0.011   0.036  -0.008   0.017   0.062  -0.066
   0.024   0.088  -0.045  -0.039   1.000   0.003  -0.264   0.004  -0.001   0.004  -0.006   0.006  -0.004  -0.021   0.030
   0.105   0.037  -0.001  -0.117   0.003   1.000   0.329  -0.011   0.015  -0.011   0.020  -0.007   0.020   0.056  -0.046
  -0.304   0.178  -0.337   0.372  -0.264   0.329   1.000  -0.013   0.065  -0.028   0.091  -0.039   0.067   0.328  -0.621
   0.031  -0.008   0.005  -0.004   0.004  -0.011  -0.013   1.000   0.112  -0.023   0.085  -0.123  -0.027  -0.280  -0.018
  -0.031   0.009  -0.011   0.010  -0.001   0.015   0.065   0.112   1.000   0.189  -0.056   0.031  -0.064   0.244  -0.071
   0.001  -0.006   0.014  -0.011   0.004  -0.011  -0.028  -0.023   0.189   1.000   0.028  -0.172   0.019  -0.254   0.018
  -0.010   0.007  -0.025   0.036  -0.006   0.020   0.091   0.085  -0.056   0.028   1.000   0.020  -0.099   0.420  -0.098
   0.012  -0.004   0.007  -0.008   0.006  -0.007  -0.039  -0.123   0.031  -0.172   0.020   1.000   0.118  -0.194   0.044
  -0.011   0.011  -0.022   0.017  -0.004   0.020   0.067  -0.027  -0.064   0.019  -0.099   0.118   1.000   0.376  -0.066
  -0.050   0.029  -0.061   0.062  -0.021   0.056   0.328  -0.280   0.244  -0.254   0.420  -0.194   0.376   1.000  -0.427
   0.015  -0.023   0.067  -0.066   0.030  -0.046  -0.621  -0.018  -0.071   0.018  -0.098   0.044  -0.066  -0.427   1.000

Number of iterations    25
Minutes to convergence     0.00277

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527499
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5836        0.0787  -20.114   0.0000      0.0000
P02              0.0304        0.0027   11.448   0.0000      0.0000
P03              0.2187        0.0959    2.280   0.0226      0.0000
P04              0.4367        0.0600    7.284   0.0000      0.0000
P05             -0.0755        0.0579   -1.304   0.1922      0.0000
P06             -0.3376        0.1669   -2.023   0.0431      0.0000
P07             -0.1389        0.0855   -1.625   0.1041      0.0000

Correlation matrix of the parameters
   1.000  -0.729   0.192   0.441   0.426   0.917  -0.469
  -0.729   1.000  -0.156  -0.340  -0.466  -0.760  -0.102
   0.192  -0.156   1.000  -0.620  -0.629   0.283   0.019
   0.441  -0.340  -0.620   1.000   0.801   0.312  -0.414
   0.426  -0.466  -0.629   0.801   1.000   0.358  -0.161
   0.917  -0.760   0.283   0.312   0.358   1.000  -0.313
  -0.469  -0.102   0.019  -0.414  -0.161  -0.313   1.000

Number of iterations    13
Minutes to convergence     0.00040

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340774
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0349        0.0059    5.935   0.0000      0.0000
P02             -0.0322        0.0060   -5.347   0.0000      0.0000
P03              0.0247        0.0052    4.733   0.0000      0.0000
P04             -0.0297        0.0142   -2.090   0.0366      0.0000
P05              0.0285        0.0043    6.690   0.0000      0.0000
P06              0.0060        0.0072    0.835   0.4036      0.0000
P07              2.1864        0.1855   11.789   0.0000      0.0000
P08              0.0209        0.0050    4.221   0.0000      0.0000
P09             -0.0113        0.0053   -2.132   0.0330      0.0000
P10              0.0158        0.0047    3.355   0.0008      0.0000
P11             -0.0249        0.0128   -1.941   0.0522      0.0000
P12             -0.0007        0.0036   -0.196   0.8446      0.0000
P13             -0.0278        0.0062   -4.517   0.0000      0.0000
P14             -0.5712        0.1656   -3.449   0.0006      0.0000
P15             -0.0929        0.0038  -24.449   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.033   0.106   0.045   0.030   0.107  -0.310   0.028  -0.026   0.011  -0.015   0.014  -0.012  -0.057   0.023
  -0.033   1.000   0.134  -0.174   0.084   0.044   0.182  -0.025  -0.010  -0.011   0.009   0.000   0.022   0.035  -0.024
   0.106   0.134   1.000  -0.099  -0.058   0.008  -0.325  -0.018  -0.058  -0.010  -0.017   0.013  -0.003  -0.048   0.064
   0.045  -0.174  -0.099   1.000  -0.042  -0.118   0.371  -0.008   0.009  -0.009   0.034  -0.008   0.015   0.060  -0.065
   0.030   0.084  -0.058  -0.042   1.000   0.001  -0.265   0.007   0.011   0.014  -0.008   0.005  -0.007  -0.023   0.028
   0.107   0.044   0.008  -0.118   0.001   1.000   0.331  -0.004   0.010  -0.023   0.020  -0.007   0.024   0.058  -0.049
  -0.310   0.182  -0.325   0.371  -0.265   0.331   1.000  -0.019   0.062  -0.032   0.092  -0.040   0.069   0.331  -0.621
   0.028  -0.025  -0.018  -0.008   0.007  -0.004  -0.019   1.000   0.078   0.000   0.083  -0.113  -0.011  -0.294  -0.002
  -0.026  -0.010  -0.058   0.009   0.011   0.010   0.062   0.078   1.000   0.226  -0.054   0.035  -0.058   0.240  -0.065
   0.011  -0.011  -0.010  -0.009   0.014  -0.023  -0.032   0.000   0.226   1.000   0.025  -0.176   0.000  -0.259   0.019
  -0.015   0.009  -0.017   0.034  -0.008   0.020   0.092   0.083  -0.054   0.025   1.000   0.018  -0.098   0.422  -0.101
   0.014   0.000   0.013  -0.008   0.005  -0.007  -0.040  -0.113   0.035  -0.176   0.018   1.000   0.113  -0.197   0.044
  -0.012   0.022  -0.003   0.015  -0.007   0.024   0.069  -0.011  -0.058   0.000  -0.098   0.113   1.000   0.381  -0.073
  -0.057   0.035  -0.048   0.060  -0.023   0.058   0.331  -0.294   0.240  -0.259   0.422  -0.197   0.381   1.000  -0.432
   0.023  -0.024   0.064  -0.065   0.028  -0.049  -0.621  -0.002  -0.065   0.019  -0.101   0.044  -0.073  -0.432   1.000

Number of iterations    25
Minutes to convergence     0.00273

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527420
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5817        0.0854  -18.521   0.0000      0.0000
P02              0.0304        0.0027   11.086   0.0000      0.0000
P03              0.2170        0.1028    2.110   0.0349      0.0000
P04              0.4386        0.0856    5.124   0.0000      0.0000
P05             -0.0731        0.0640   -1.143   0.2531      0.0000
P06             -0.3340        0.2668   -1.252   0.2106      0.0000
P07             -0.1372        0.0876   -1.567   0.1172      0.0000

Correlation matrix of the parameters
   1.000  -0.790   0.107   0.245   0.296   0.631  -0.295
  -0.790   1.000  -0.137  -0.252  -0.418  -0.386  -0.081
   0.107  -0.137   1.000  -0.147  -0.387  -0.113  -0.105
   0.245  -0.252  -0.147   1.000   0.778  -0.370  -0.566
   0.296  -0.418  -0.387   0.778   1.000  -0.249  -0.185
   0.631  -0.386  -0.113  -0.370  -0.249   1.000  -0.036
  -0.295  -0.081  -0.105  -0.566  -0.185  -0.036   1.000

Number of iterations    19
Minutes to convergence     0.00045

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340763
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0350        0.0058    6.039   0.0000      0.0000
P02             -0.0323        0.0061   -5.336   0.0000      0.0000
P03              0.0248        0.0052    4.784   0.0000      0.0000
P04             -0.0294        0.0142   -2.066   0.0388      0.0000
P05              0.0286        0.0043    6.718   0.0000      0.0000
P06              0.0060        0.0072    0.835   0.4035      0.0000
P07              2.1910        0.1880   11.657   0.0000      0.0000
P08              0.0209        0.0051    4.112   0.0000      0.0000
P09             -0.0113        0.0052   -2.158   0.0310      0.0000
P10              0.0158        0.0047    3.388   0.0007      0.0000
P11             -0.0250        0.0128   -1.948   0.0514      0.0000
P12             -0.0007        0.0036   -0.188   0.8512      0.0000
P13             -0.0278        0.0062   -4.506   0.0000      0.0000
P14             -0.5666        0.1655   -3.423   0.0006      0.0000
P15             -0.0929        0.0038  -24.317   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.023   0.122   0.047   0.037   0.122  -0.298   0.021  -0.012   0.004  -0.014   0.011  -0.013  -0.043   0.025
  -0.023   1.000   0.128  -0.174   0.083   0.040   0.183  -0.012   0.003  -0.006   0.006  -0.003   0.017   0.032  -0.031
   0.122   0.128   1.000  -0.102  -0.035  -0.001  -0.346   0.021  -0.011   0.008  -0.021   0.010  -0.024  -0.069   0.080
   0.047  -0.174  -0.102   1.000  -0.052  -0.122   0.374  -0.011   0.006  -0.004   0.031  -0.009   0.011   0.057  -0.073
   0.037   0.083  -0.035  -0.052   1.000  -0.006  -0.278   0.004   0.001   0.000  -0.006   0.003  -0.001  -0.015   0.031
   0.122   0.040  -0.001  -0.122  -0.006   1.000   0.327  -0.009   0.003  -0.016   0.015  -0.006   0.025   0.052  -0.054
  -0.298   0.183  -0.346   0.374  -0.278   0.327   1.000  -0.030   0.045  -0.018   0.086  -0.037   0.069   0.320  -0.630
   0.021  -0.012   0.021  -0.011   0.004  -0.009  -0.030   1.000   0.097  -0.023   0.069  -0.115  -0.034  -0.307   0.005
  -0.012   0.003  -0.011   0.006   0.001   0.003   0.045   0.097   1.000   0.196  -0.052   0.034  -0.059   0.241  -0.063
   0.004  -0.006   0.008  -0.004   0.000  -0.016  -0.018  -0.023   0.196   1.000   0.035  -0.175   0.017  -0.242   0.009
  -0.014   0.006  -0.021   0.031  -0.006   0.015   0.086   0.069  -0.052   0.035   1.000   0.016  -0.098   0.424  -0.099
   0.011  -0.003   0.010  -0.009   0.003  -0.006  -0.037  -0.115   0.034  -0.175   0.016   1.000   0.115  -0.195   0.041
  -0.013   0.017  -0.024   0.011  -0.001   0.025   0.069  -0.034  -0.059   0.017  -0.098   0.115   1.000   0.384  -0.071
  -0.043   0.032  -0.069   0.057  -0.015   0.052   0.320  -0.307   0.241  -0.242   0.424  -0.195   0.384   1.000  -0.427
   0.025  -0.031   0.080  -0.073   0.031  -0.054  -0.630   0.005  -0.063   0.009  -0.099   0.041  -0.071  -0.427   1.000

Number of iterations    25
Minutes to convergence     0.00277

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527356
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5803        0.0795  -19.882   0.0000      0.0000
P02              0.0305        0.0027   11.113   0.0000      0.0000
P03              0.2158        0.0973    2.217   0.0266      0.0000
P04              0.4407        0.0589    7.485   0.0000      0.0000
P05             -0.0709        0.0556   -1.275   0.2022      0.0000
P06             -0.3322        0.1720   -1.931   0.0534      0.0000
P07             -0.1361        0.0735   -1.853   0.0639      0.0000

Correlation matrix of the parameters
   1.000  -0.737   0.171   0.434   0.393   0.942  -0.472
  -0.737   1.000  -0.198  -0.439  -0.506  -0.698  -0.097
   0.171  -0.198   1.000  -0.650  -0.590   0.264   0.122
   0.434  -0.439  -0.650   1.000   0.814   0.361  -0.223
   0.393  -0.506  -0.590   0.814   1.000   0.319  -0.029
   0.942  -0.698   0.264   0.361   0.319   1.000  -0.495
  -0.472  -0.097   0.122  -0.223  -0.029  -0.495   1.000

Number of iterations    12
Minutes to convergence     0.00040

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340755
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0350        0.0059    5.979   0.0000      0.0000
P02             -0.0324        0.0061   -5.336   0.0000      0.0000
P03              0.0248        0.0052    4.779   0.0000      0.0000
P04             -0.0292        0.0143   -2.047   0.0406      0.0000
P05              0.0288        0.0042    6.865   0.0000      0.0000
P06              0.0060        0.0072    0.829   0.4071      0.0000
P07              2.1949        0.1842   11.917   0.0000      0.0000
P08              0.0209        0.0051    4.122   0.0000      0.0000
P09             -0.0113        0.0052   -2.172   0.0299      0.0000
P10              0.0158        0.0047    3.387   0.0007      0.0000
P11             -0.0250        0.0128   -1.959   0.0501      0.0000
P12             -0.0007        0.0036   -0.180   0.8568      0.0000
P13             -0.0278        0.0062   -4.513   0.0000      0.0000
P14             -0.5629        0.1644   -3.423   0.0006      0.0000
P15             -0.0929        0.0037  -24.782   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.027   0.133   0.030   0.042   0.103  -0.331   0.003  -0.007  -0.001  -0.003   0.003  -0.001  -0.015   0.028
  -0.027   1.000   0.130  -0.177   0.092   0.040   0.178  -0.012   0.008  -0.006   0.006  -0.003   0.017   0.031  -0.023
   0.133   0.130   1.000  -0.106  -0.043  -0.007  -0.350   0.014  -0.016   0.005  -0.018   0.007  -0.018  -0.057   0.068
   0.030  -0.177  -0.106   1.000  -0.034  -0.115   0.372  -0.012   0.022   0.000   0.034  -0.008   0.008   0.057  -0.054
   0.042   0.092  -0.043  -0.034   1.000  -0.002  -0.240   0.020  -0.025   0.005  -0.024   0.007  -0.015  -0.045  -0.006
   0.103   0.040  -0.007  -0.115  -0.002   1.000   0.343  -0.003   0.006  -0.010   0.008  -0.002   0.018   0.037  -0.048
  -0.331   0.178  -0.350   0.372  -0.240   0.343   1.000  -0.031   0.080  -0.017   0.097  -0.036   0.071   0.333  -0.602
   0.003  -0.012   0.014  -0.012   0.020  -0.003  -0.031   1.000   0.123  -0.020   0.076  -0.120  -0.033  -0.292   0.011
  -0.007   0.008  -0.016   0.022  -0.025   0.006   0.080   0.123   1.000   0.194  -0.062   0.036  -0.072   0.224  -0.091
  -0.001  -0.006   0.005   0.000   0.005  -0.010  -0.017  -0.020   0.194   1.000   0.034  -0.171   0.015  -0.252   0.016
  -0.003   0.006  -0.018   0.034  -0.024   0.008   0.097   0.076  -0.062   0.034   1.000   0.015  -0.104   0.420  -0.116
   0.003  -0.003   0.007  -0.008   0.007  -0.002  -0.036  -0.120   0.036  -0.171   0.015   1.000   0.114  -0.198   0.047
  -0.001   0.017  -0.018   0.008  -0.015   0.018   0.071  -0.033  -0.072   0.015  -0.104   0.114   1.000   0.381  -0.081
  -0.015   0.031  -0.057   0.057  -0.045   0.037   0.333  -0.292   0.224  -0.252   0.420  -0.198   0.381   1.000  -0.461
   0.028  -0.023   0.068  -0.054  -0.006  -0.048  -0.602   0.011  -0.091   0.016  -0.116   0.047  -0.081  -0.461   1.000

Number of iterations    23
Minutes to convergence     0.00262

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527294
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5790        0.0904  -17.465   0.0000      0.0000
P02              0.0305        0.0028   10.812   0.0000      0.0000
P03              0.2147        0.0993    2.162   0.0306      0.0000
P04              0.4422        0.0511    8.656   0.0000      0.0000
P05             -0.0693        0.0532   -1.302   0.1931      0.0000
P06             -0.3305        0.1780   -1.856   0.0634      0.0000
P07             -0.1351        0.0701   -1.927   0.0539      0.0000

Correlation matrix of the parameters
   1.000  -0.747   0.084   0.407   0.291   0.954  -0.455
  -0.747   1.000  -0.156  -0.437  -0.442  -0.717  -0.116
   0.084  -0.156   1.000  -0.672  -0.650   0.165   0.133
   0.407  -0.437  -0.672   1.000   0.776   0.342  -0.109
   0.291  -0.442  -0.650   0.776   1.000   0.224   0.117
   0.954  -0.717   0.165   0.342   0.224   1.000  -0.470
  -0.455  -0.116   0.133  -0.109   0.117  -0.470   1.000

Number of iterations    12
Minutes to convergence     0.00042

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340751
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0350        0.0056    6.291   0.0000      0.0000
P02             -0.0324        0.0060   -5.417   0.0000      0.0000
P03              0.0248        0.0049    5.060   0.0000      0.0000
P04             -0.0291        0.0134   -2.176   0.0295      0.0000
P05              0.0289        0.0041    7.034   0.0000      0.0000
P06              0.0060        0.0068    0.874   0.3822      0.0000
P07              2.1970        0.0983   22.361   0.0000      0.0000
P08              0.0208        0.0050    4.171   0.0000      0.0000
P09             -0.0113        0.0052   -2.170   0.0300      0.0000
P10              0.0157        0.0046    3.422   0.0006      0.0000
P11             -0.0250        0.0126   -1.983   0.0473      0.0000
P12             -0.0006        0.0036   -0.176   0.8605      0.0000
P13             -0.0278        0.0061   -4.575   0.0000      0.0000
P14             -0.5594        0.1591   -3.517   0.0004      0.0000
P15             -0.0929        0.0035  -26.645   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.027   0.034   0.163  -0.045   0.223  -0.115   0.047  -0.032   0.044  -0.054   0.028  -0.054  -0.101  -0.108
   0.027   1.000   0.202  -0.256   0.134  -0.018   0.066  -0.033   0.016  -0.027   0.028  -0.016   0.038   0.067   0.045
   0.034   0.202   1.000   0.010  -0.130   0.113  -0.141   0.057  -0.038   0.048  -0.068   0.033  -0.065  -0.139  -0.064
   0.163  -0.256   0.010   1.000   0.053  -0.261   0.146  -0.061   0.045  -0.048   0.089  -0.037   0.063   0.149   0.087
  -0.045   0.134  -0.130   0.053   1.000   0.081  -0.092   0.050  -0.027   0.036  -0.054   0.024  -0.050  -0.095  -0.093
   0.223  -0.018   0.113  -0.261   0.081   1.000   0.131  -0.050   0.033  -0.050   0.057  -0.029   0.063   0.119   0.085
  -0.115   0.066  -0.141   0.146  -0.092   0.131   1.000  -0.255   0.228  -0.232   0.398  -0.183   0.354   0.990  -0.584
   0.047  -0.033   0.057  -0.061   0.050  -0.050  -0.255   1.000   0.135  -0.032   0.099  -0.133  -0.015  -0.268   0.057
  -0.032   0.016  -0.038   0.045  -0.027   0.033   0.228   0.135   1.000   0.202  -0.067   0.041  -0.078   0.220  -0.109
   0.044  -0.027   0.048  -0.048   0.036  -0.050  -0.232  -0.032   0.202   1.000   0.053  -0.183   0.036  -0.233   0.067
  -0.054   0.028  -0.068   0.089  -0.054   0.057   0.398   0.099  -0.067   0.053   1.000   0.026  -0.128   0.402  -0.175
   0.028  -0.016   0.033  -0.037   0.024  -0.029  -0.183  -0.133   0.041  -0.183   0.026   1.000   0.126  -0.186   0.078
  -0.054   0.038  -0.065   0.063  -0.050   0.063   0.354  -0.015  -0.078   0.036  -0.128   0.126   1.000   0.359  -0.141
  -0.101   0.067  -0.139   0.149  -0.095   0.119   0.990  -0.268   0.220  -0.233   0.402  -0.186   0.359   1.000  -0.588
  -0.108   0.045  -0.064   0.087  -0.093   0.085  -0.584   0.057  -0.109   0.067  -0.175   0.078  -0.141  -0.588   1.000

Number of iterations    17
Minutes to convergence     0.00200

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527241
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5784        0.0319  -49.552   0.0000      0.0000
P02              0.0305        0.0021   14.763   0.0000      0.0000
P03              0.2137        0.0977    2.187   0.0288      0.0000
P04              0.4434        0.0480    9.245   0.0000      0.0000
P05             -0.0679        0.0539   -1.258   0.2084      0.0000
P06             -0.3299        0.0416   -7.938   0.0000      0.0000
P07             -0.1340        0.0518   -2.586   0.0097      0.0000

Correlation matrix of the parameters
   1.000  -0.497  -0.541   0.609   0.627   0.513   0.110
  -0.497   1.000   0.018  -0.496  -0.524  -0.156  -0.699
  -0.541   0.018   1.000  -0.694  -0.680  -0.800   0.388
   0.609  -0.496  -0.694   1.000   0.793   0.656   0.125
   0.627  -0.524  -0.680   0.793   1.000   0.654   0.181
   0.513  -0.156  -0.800   0.656   0.654   1.000  -0.220
   0.110  -0.699   0.388   0.125   0.181  -0.220   1.000

Number of iterations    5
Minutes to convergence     0.00035

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340752
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0351        0.0057    6.199   0.0000      0.0000
P02             -0.0325        0.0060   -5.404   0.0000      0.0000
P03              0.0249        0.0050    4.972   0.0000      0.0000
P04             -0.0289        0.0136   -2.128   0.0333      0.0000
P05              0.0290        0.0042    6.963   0.0000      0.0000
P06              0.0060        0.0070    0.859   0.3904      0.0000
P07              2.1998        0.1402   15.691   0.0000      0.0000
P08              0.0208        0.0049    4.242   0.0000      0.0000
P09             -0.0113        0.0052   -2.179   0.0293      0.0000
P10              0.0157        0.0046    3.453   0.0006      0.0000
P11             -0.0251        0.0123   -2.040   0.0414      0.0000
P12             -0.0006        0.0036   -0.172   0.8638      0.0000
P13             -0.0277        0.0059   -4.681   0.0000      0.0000
P14             -0.5565        0.1411   -3.943   0.0001      0.0000
P15             -0.0929        0.0037  -24.977   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.013   0.063   0.125  -0.024   0.188  -0.193   0.063  -0.039   0.053  -0.076   0.035  -0.074  -0.176  -0.042
   0.013   1.000   0.185  -0.229   0.119  -0.004   0.110  -0.034   0.026  -0.034   0.044  -0.022   0.046   0.112   0.006
   0.063   0.185   1.000  -0.028  -0.102   0.075  -0.225   0.066  -0.047   0.058  -0.089   0.040  -0.083  -0.216   0.006
   0.125  -0.229  -0.028   1.000   0.027  -0.212   0.245  -0.074   0.057  -0.066   0.109  -0.047   0.093   0.248   0.003
  -0.024   0.119  -0.102   0.027   1.000   0.054  -0.169   0.056  -0.041   0.052  -0.075   0.035  -0.071  -0.176  -0.023
   0.188  -0.004   0.075  -0.212   0.054   1.000   0.220  -0.066   0.045  -0.057   0.085  -0.039   0.081   0.204   0.010
  -0.193   0.110  -0.225   0.245  -0.169   0.220   1.000  -0.191   0.199  -0.200   0.346  -0.157   0.305   0.992  -0.645
   0.063  -0.034   0.066  -0.074   0.056  -0.066  -0.191   1.000   0.163  -0.058   0.147  -0.158   0.023  -0.193   0.027
  -0.039   0.026  -0.047   0.057  -0.041   0.045   0.199   0.163   1.000   0.214  -0.092   0.049  -0.101   0.200  -0.111
   0.053  -0.034   0.058  -0.066   0.052  -0.057  -0.200  -0.058   0.214   1.000   0.079  -0.195   0.067  -0.200   0.067
  -0.076   0.044  -0.089   0.109  -0.075   0.085   0.346   0.147  -0.092   0.079   1.000   0.048  -0.176   0.349  -0.167
   0.035  -0.022   0.040  -0.047   0.035  -0.039  -0.157  -0.158   0.049  -0.195   0.048   1.000   0.149  -0.162   0.076
  -0.074   0.046  -0.083   0.093  -0.071   0.081   0.305   0.023  -0.101   0.067  -0.176   0.149   1.000   0.304  -0.131
  -0.176   0.112  -0.216   0.248  -0.176   0.204   0.992  -0.193   0.200  -0.200   0.349  -0.162   0.304   1.000  -0.652
  -0.042   0.006   0.006   0.003  -0.023   0.010  -0.645   0.027  -0.111   0.067  -0.167   0.076  -0.131  -0.652   1.000

Number of iterations    17
Minutes to convergence     0.00198

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527194
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5776        0.0487  -32.406   0.0000      0.0000
P02              0.0305        0.0021   14.566   0.0000      0.0000
P03              0.2128        0.0877    2.426   0.0153      0.0000
P04              0.4445        0.0538    8.256   0.0000      0.0000
P05             -0.0667        0.0547   -1.219   0.2227      0.0000
P06             -0.3293        0.0622   -5.296   0.0000      0.0000
P07             -0.1333        0.0620   -2.149   0.0316      0.0000

Correlation matrix of the parameters
   1.000  -0.398  -0.811   0.673   0.623   0.778  -0.390
  -0.398   1.000   0.228  -0.629  -0.666  -0.110  -0.503
  -0.811   0.228   1.000  -0.724  -0.659  -0.821   0.488
   0.673  -0.629  -0.724   1.000   0.814   0.538   0.009
   0.623  -0.666  -0.659   0.814   1.000   0.460   0.116
   0.778  -0.110  -0.821   0.538   0.460   1.000  -0.620
  -0.390  -0.503   0.488   0.009   0.116  -0.620   1.000

Number of iterations    6
Minutes to convergence     0.00020

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340751
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0351        0.0057    6.101   0.0000      0.0000
P02             -0.0325        0.0060   -5.386   0.0000      0.0000
P03              0.0249        0.0050    4.943   0.0000      0.0000
P04             -0.0288        0.0136   -2.109   0.0350      0.0000
P05              0.0290        0.0042    6.902   0.0000      0.0000
P06              0.0060        0.0072    0.833   0.4050      0.0000
P07              2.2021        0.1504   14.638   0.0000      0.0000
P08              0.0208        0.0049    4.239   0.0000      0.0000
P09             -0.0113        0.0052   -2.184   0.0290      0.0000
P10              0.0157        0.0046    3.448   0.0006      0.0000
P11             -0.0251        0.0121   -2.069   0.0385      0.0000
P12             -0.0006        0.0036   -0.168   0.8669      0.0000
P13             -0.0277        0.0060   -4.638   0.0000      0.0000
P14             -0.5544        0.1359   -4.078   0.0000      0.0000
P15             -0.0929        0.0038  -24.672   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.001   0.079   0.127  -0.032   0.141  -0.222   0.078  -0.040   0.067  -0.075   0.034  -0.101  -0.219  -0.027
   0.001   1.000   0.176  -0.226   0.117   0.013   0.129  -0.036   0.028  -0.040   0.045  -0.022   0.055   0.132  -0.005
   0.079   0.176   1.000  -0.029  -0.100   0.050  -0.243   0.071  -0.046   0.066  -0.088   0.039  -0.096  -0.241   0.019
   0.127  -0.226  -0.029   1.000   0.010  -0.211   0.247  -0.064   0.053  -0.064   0.104  -0.047   0.083   0.245  -0.013
  -0.032   0.117  -0.100   0.010   1.000   0.064  -0.177   0.042  -0.042   0.045  -0.077   0.037  -0.054  -0.171  -0.004
   0.141   0.013   0.050  -0.211   0.064   1.000   0.261  -0.088   0.044  -0.077   0.084  -0.037   0.120   0.263  -0.010
  -0.222   0.129  -0.243   0.247  -0.177   0.261   1.000  -0.177   0.184  -0.203   0.314  -0.144   0.307   0.993  -0.652
   0.078  -0.036   0.071  -0.064   0.042  -0.088  -0.177   1.000   0.171  -0.056   0.164  -0.167   0.015  -0.181   0.010
  -0.040   0.028  -0.046   0.053  -0.042   0.044   0.184   0.171   1.000   0.216  -0.106   0.052  -0.106   0.186  -0.106
   0.067  -0.040   0.066  -0.064   0.045  -0.077  -0.203  -0.056   0.216   1.000   0.088  -0.199   0.058  -0.206   0.064
  -0.075   0.045  -0.088   0.104  -0.077   0.084   0.314   0.164  -0.106   0.088   1.000   0.058  -0.191   0.312  -0.152
   0.034  -0.022   0.039  -0.047   0.037  -0.037  -0.144  -0.167   0.052  -0.199   0.058   1.000   0.156  -0.145   0.071
  -0.101   0.055  -0.096   0.083  -0.054   0.120   0.307   0.015  -0.106   0.058  -0.191   0.156   1.000   0.312  -0.120
  -0.219   0.132  -0.241   0.245  -0.171   0.263   0.993  -0.181   0.186  -0.206   0.312  -0.145   0.312   1.000  -0.648
  -0.027  -0.005   0.019  -0.013  -0.004  -0.010  -0.652   0.010  -0.106   0.064  -0.152   0.071  -0.120  -0.648   1.000

Number of iterations    16
Minutes to convergence     0.00192

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527155
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5768        0.0582  -27.110   0.0000      0.0000
P02              0.0305        0.0022   13.841   0.0000      0.0000
P03              0.2122        0.0870    2.439   0.0147      0.0000
P04              0.4454        0.0523    8.512   0.0000      0.0000
P05             -0.0657        0.0524   -1.254   0.2098      0.0000
P06             -0.3287        0.0626   -5.248   0.0000      0.0000
P07             -0.1327        0.0564   -2.354   0.0186      0.0000

Correlation matrix of the parameters
   1.000  -0.567  -0.833   0.803   0.772   0.841  -0.328
  -0.567   1.000   0.257  -0.652  -0.689  -0.396  -0.400
  -0.833   0.257   1.000  -0.722  -0.656  -0.885   0.602
   0.803  -0.652  -0.722   1.000   0.801   0.765  -0.136
   0.772  -0.689  -0.656   0.801   1.000   0.716  -0.032
   0.841  -0.396  -0.885   0.765   0.716   1.000  -0.468
  -0.328  -0.400   0.602  -0.136  -0.032  -0.468   1.000

Number of iterations    5
Minutes to convergence     0.00018

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340751
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0351        0.0057    6.183   0.0000      0.0000
P02             -0.0325        0.0060   -5.398   0.0000      0.0000
P03              0.0249        0.0050    4.973   0.0000      0.0000
P04             -0.0286        0.0136   -2.102   0.0355      0.0000
P05              0.0291        0.0042    6.959   0.0000      0.0000
P06              0.0060        0.0070    0.856   0.3921      0.0000
P07              2.2041        0.1441   15.300   0.0000      0.0000
P08              0.0208        0.0049    4.281   0.0000      0.0000
P09             -0.0113        0.0052   -2.175   0.0296      0.0000
P10              0.0157        0.0045    3.459   0.0005      0.0000
P11             -0.0251        0.0122   -2.062   0.0392      0.0000
P12             -0.0006        0.0036   -0.164   0.8697      0.0000
P13             -0.0277        0.0059   -4.700   0.0000      0.0000
P14             -0.5526        0.1357   -4.072   0.0000      0.0000
P15             -0.0929        0.0037  -24.989   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.009   0.064   0.128  -0.024   0.184  -0.194   0.057  -0.049   0.054  -0.073   0.037  -0.074  -0.185  -0.038
   0.009   1.000   0.180  -0.221   0.115  -0.004   0.121  -0.038   0.025  -0.030   0.047  -0.022   0.044   0.119   0.000
   0.064   0.180   1.000  -0.024  -0.102   0.068  -0.224   0.057  -0.055   0.061  -0.084   0.041  -0.083  -0.222   0.008
   0.128  -0.221  -0.024   1.000   0.020  -0.200   0.255  -0.071   0.047  -0.072   0.106  -0.045   0.099   0.256  -0.005
  -0.024   0.115  -0.102   0.020   1.000   0.046  -0.177   0.054  -0.035   0.053  -0.075   0.032  -0.071  -0.178  -0.019
   0.184  -0.004   0.068  -0.200   0.046   1.000   0.240  -0.077   0.044  -0.056   0.097  -0.042   0.084   0.233  -0.006
  -0.194   0.121  -0.224   0.255  -0.177   0.240   1.000  -0.177   0.186  -0.195   0.332  -0.149   0.297   0.993  -0.647
   0.057  -0.038   0.057  -0.071   0.054  -0.077  -0.177   1.000   0.166  -0.057   0.160  -0.165   0.029  -0.176   0.016
  -0.049   0.025  -0.055   0.047  -0.035   0.044   0.186   0.166   1.000   0.221  -0.106   0.050  -0.108   0.189  -0.102
   0.054  -0.030   0.061  -0.072   0.053  -0.056  -0.195  -0.057   0.221   1.000   0.079  -0.199   0.070  -0.199   0.063
  -0.073   0.047  -0.084   0.106  -0.075   0.097   0.332   0.160  -0.106   0.079   1.000   0.057  -0.180   0.333  -0.157
   0.037  -0.022   0.041  -0.045   0.032  -0.042  -0.149  -0.165   0.050  -0.199   0.057   1.000   0.153  -0.152   0.069
  -0.074   0.044  -0.083   0.099  -0.071   0.084   0.297   0.029  -0.108   0.070  -0.180   0.153   1.000   0.299  -0.125
  -0.185   0.119  -0.222   0.256  -0.178   0.233   0.993  -0.176   0.189  -0.199   0.333  -0.152   0.299   1.000  -0.649
  -0.038   0.000   0.008  -0.005  -0.019  -0.006  -0.647   0.016  -0.102   0.063  -0.157   0.069  -0.125  -0.649   1.000

Number of iterations    17
Minutes to convergence     0.00205

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527123
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5761        0.0676  -23.327   0.0000      0.0000
P02              0.0305        0.0023   13.485   0.0000      0.0000
P03              0.2116        0.0849    2.492   0.0127      0.0000
P04              0.4461        0.0494    9.026   0.0000      0.0000
P05             -0.0649        0.0505   -1.284   0.1991      0.0000
P06             -0.3280        0.0745   -4.402   0.0000      0.0000
P07             -0.1322        0.0562   -2.351   0.0187      0.0000

Correlation matrix of the parameters
   1.000  -0.603  -0.860   0.797   0.767   0.885  -0.377
  -0.603   1.000   0.320  -0.697  -0.725  -0.462  -0.330
  -0.860   0.320   1.000  -0.696  -0.636  -0.904   0.615
   0.797  -0.697  -0.696   1.000   0.783   0.761  -0.128
   0.767  -0.725  -0.636   0.783   1.000   0.716  -0.033
   0.885  -0.462  -0.904   0.761   0.716   1.000  -0.495
  -0.377  -0.330   0.615  -0.128  -0.033  -0.495   1.000

Number of iterations    5
Minutes to convergence     0.00797

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340751
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0351        0.0057    6.117   0.0000      0.0000
P02             -0.0326        0.0061   -5.374   0.0000      0.0000
P03              0.0249        0.0050    4.939   0.0000      0.0000
P04             -0.0285        0.0138   -2.075   0.0380      0.0000
P05              0.0291        0.0042    6.941   0.0000      0.0000
P06              0.0060        0.0071    0.841   0.4003      0.0000
P07              2.2057        0.1520   14.511   0.0000      0.0000
P08              0.0208        0.0049    4.212   0.0000      0.0000
P09             -0.0113        0.0052   -2.171   0.0299      0.0000
P10              0.0157        0.0046    3.443   0.0006      0.0000
P11             -0.0251        0.0122   -2.060   0.0394      0.0000
P12             -0.0006        0.0036   -0.161   0.8719      0.0000
P13             -0.0277        0.0060   -4.640   0.0000      0.0000
P14             -0.5511        0.1375   -4.008   0.0001      0.0000
P15             -0.0929        0.0038  -24.599   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.003   0.069   0.130  -0.018   0.169  -0.216   0.076  -0.039   0.065  -0.071   0.038  -0.092  -0.212  -0.017
  -0.003   1.000   0.175  -0.224   0.114   0.009   0.133  -0.048   0.021  -0.039   0.044  -0.022   0.058   0.136  -0.009
   0.069   0.175   1.000  -0.039  -0.092   0.069  -0.244   0.065  -0.056   0.059  -0.095   0.045  -0.084  -0.240   0.029
   0.130  -0.224  -0.039   1.000   0.013  -0.209   0.257  -0.066   0.061  -0.058   0.117  -0.050   0.081   0.255  -0.019
  -0.018   0.114  -0.092   0.013   1.000   0.045  -0.189   0.061  -0.032   0.051  -0.078   0.033  -0.072  -0.185  -0.006
   0.169   0.009   0.069  -0.209   0.045   1.000   0.246  -0.080   0.034  -0.075   0.084  -0.040   0.107   0.246  -0.016
  -0.216   0.133  -0.244   0.257  -0.189   0.246   1.000  -0.201   0.168  -0.195   0.323  -0.147   0.305   0.994  -0.662
   0.076  -0.048   0.065  -0.066   0.061  -0.080  -0.201   1.000   0.175  -0.048   0.157  -0.160   0.007  -0.206   0.038
  -0.039   0.021  -0.056   0.061  -0.032   0.034   0.168   0.175   1.000   0.230  -0.099   0.051  -0.122   0.168  -0.093
   0.065  -0.039   0.059  -0.058   0.051  -0.075  -0.195  -0.048   0.230   1.000   0.092  -0.202   0.054  -0.198   0.062
  -0.071   0.044  -0.095   0.117  -0.078   0.084   0.323   0.157  -0.099   0.092   1.000   0.055  -0.191   0.321  -0.159
   0.038  -0.022   0.045  -0.050   0.033  -0.040  -0.147  -0.160   0.051  -0.202   0.055   1.000   0.154  -0.148   0.070
  -0.092   0.058  -0.084   0.081  -0.072   0.107   0.305   0.007  -0.122   0.054  -0.191   0.154   1.000   0.310  -0.131
  -0.212   0.136  -0.240   0.255  -0.185   0.246   0.994  -0.206   0.168  -0.198   0.321  -0.148   0.310   1.000  -0.659
  -0.017  -0.009   0.029  -0.019  -0.006  -0.016  -0.662   0.038  -0.093   0.062  -0.159   0.070  -0.131  -0.659   1.000

Number of iterations    16
Minutes to convergence     0.00190

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527096
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5754        0.0748  -21.066   0.0000      0.0000
P02              0.0305        0.0023   13.172   0.0000      0.0000
P03              0.2112        0.0832    2.539   0.0111      0.0000
P04              0.4467        0.0466    9.576   0.0000      0.0000
P05             -0.0642        0.0481   -1.336   0.1816      0.0000
P06             -0.3273        0.0879   -3.725   0.0002      0.0000
P07             -0.1318        0.0555   -2.377   0.0174      0.0000

Correlation matrix of the parameters
   1.000  -0.634  -0.873   0.781   0.749   0.910  -0.393
  -0.634   1.000   0.368  -0.725  -0.747  -0.512  -0.286
  -0.873   0.368   1.000  -0.667  -0.607  -0.915   0.613
   0.781  -0.725  -0.667   1.000   0.759   0.747  -0.102
   0.749  -0.747  -0.607   0.759   1.000   0.702  -0.007
   0.910  -0.512  -0.915   0.747   0.702   1.000  -0.500
  -0.393  -0.286   0.613  -0.102  -0.007  -0.500   1.000

Number of iterations    5
Minutes to convergence     0.00020

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340750
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0351        0.0110    3.197   0.0014      0.0000
P02             -0.0326        0.0109   -2.994   0.0027      0.0000
P03              0.0249        0.0104    2.387   0.0170      0.0000
P04             -0.0285        0.0126   -2.258   0.0239      0.0000
P05              0.0292        0.0069    4.204   0.0000      0.0000
P06              0.0059        0.0111    0.534   0.5937      0.0000
P07              2.2057        0.0117  189.099   0.0000      0.0000
P08              0.0208        0.0098    2.111   0.0348      0.0000
P09             -0.0113        0.0094   -1.204   0.2287      0.0000
P10              0.0157        0.0078    2.022   0.0432      0.0000
P11             -0.0252        0.0111   -2.265   0.0235      0.0000
P12             -0.0006        0.0041   -0.138   0.8902      0.0000
P13             -0.0277        0.0083   -3.340   0.0008      0.0000
P14             -0.5511        0.0117  -47.095   0.0000      0.0000
P15             -0.0929        0.0043  -21.687   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.086  -0.097   0.014  -0.165   0.080  -0.009   0.073  -0.076   0.086   0.018  -0.095  -0.041  -0.001  -0.497
   0.086   1.000   0.140  -0.029   0.363  -0.078   0.002  -0.055   0.032  -0.043  -0.014   0.094   0.020  -0.006   0.203
  -0.097   0.140   1.000   0.018  -0.471   0.134  -0.014   0.024  -0.076  -0.083   0.006  -0.155  -0.182  -0.002  -0.176
   0.014  -0.029   0.018   1.000   0.140  -0.128   0.096   0.021   0.017  -0.097  -0.088   0.048   0.108   0.095   0.229
  -0.165   0.363  -0.471   0.140   1.000   0.205  -0.007   0.006   0.213   0.023  -0.028   0.205   0.150   0.017   0.390
   0.080  -0.078   0.134  -0.128   0.205   1.000  -0.025  -0.025   0.069   0.064   0.099   0.025   0.096  -0.039   0.384
  -0.009   0.002  -0.014   0.096  -0.007  -0.025   1.000   0.012   0.001  -0.006  -0.078  -0.007   0.044   0.035  -0.033
   0.073  -0.055   0.024   0.021   0.006  -0.025   0.012   1.000   0.317  -0.568   0.039  -0.015   0.114  -0.001  -0.164
  -0.076   0.032  -0.076   0.017   0.213   0.069   0.001   0.317   1.000   0.262  -0.116  -0.176  -0.493   0.021   0.054
   0.086  -0.043  -0.083  -0.097   0.023   0.064  -0.006  -0.568   0.262   1.000   0.164  -0.377  -0.333  -0.026  -0.051
   0.018  -0.014   0.006  -0.088  -0.028   0.099  -0.078   0.039  -0.116   0.164   1.000   0.074  -0.209  -0.069   0.050
  -0.095   0.094  -0.155   0.048   0.205   0.025  -0.007  -0.015  -0.176  -0.377   0.074   1.000   0.471  -0.024   0.182
  -0.041   0.020  -0.182   0.108   0.150   0.096   0.044   0.114  -0.493  -0.333  -0.209   0.471   1.000   0.070   0.249
  -0.001  -0.006  -0.002   0.095   0.017  -0.039   0.035  -0.001   0.021  -0.026  -0.069  -0.024   0.070   1.000  -0.007
  -0.497   0.203  -0.176   0.229   0.390   0.384  -0.033  -0.164   0.054  -0.051   0.050   0.182   0.249  -0.007   1.000

Number of iterations    6
Minutes to convergence     0.00087

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527075
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5748        0.0745  -21.152   0.0000      0.0000
P02              0.0305        0.0023   13.163   0.0000      0.0000
P03              0.2108        0.0819    2.574   0.0101      0.0000
P04              0.4471        0.0443   10.099   0.0000      0.0000
P05             -0.0637        0.0475   -1.341   0.1800      0.0000
P06             -0.3267        0.1035   -3.156   0.0016      0.0000
P07             -0.1315        0.0544   -2.416   0.0157      0.0000

Correlation matrix of the parameters
   1.000  -0.643  -0.871   0.759   0.746   0.919  -0.383
  -0.643   1.000   0.378  -0.729  -0.749  -0.527  -0.282
  -0.871   0.378   1.000  -0.639  -0.603  -0.923   0.604
   0.759  -0.729  -0.639   1.000   0.745   0.730  -0.069
   0.746  -0.749  -0.603   0.745   1.000   0.706   0.003
   0.919  -0.527  -0.923   0.730   0.706   1.000  -0.496
  -0.383  -0.282   0.604  -0.069   0.003  -0.496   1.000

Number of iterations    5
Minutes to convergence     0.00035

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340751
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0351        0.0056    6.303   0.0000      0.0000
P02             -0.0326        0.0059   -5.493   0.0000      0.0000
P03              0.0249        0.0049    5.073   0.0000      0.0000
P04             -0.0284        0.0134   -2.114   0.0345      0.0000
P05              0.0292        0.0042    7.010   0.0000      0.0000
P06              0.0059        0.0069    0.861   0.3895      0.0000
P07              2.2076        0.1212   18.216   0.0000      0.0000
P08              0.0207        0.0049    4.226   0.0000      0.0000
P09             -0.0113        0.0051   -2.215   0.0267      0.0000
P10              0.0157        0.0046    3.442   0.0006      0.0000
P11             -0.0252        0.0123   -2.040   0.0414      0.0000
P12             -0.0006        0.0036   -0.156   0.8757      0.0000
P13             -0.0277        0.0059   -4.663   0.0000      0.0000
P14             -0.5488        0.1495   -3.670   0.0002      0.0000
P15             -0.0929        0.0036  -25.628   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.001   0.024   0.145  -0.031   0.205  -0.157   0.072  -0.014   0.056  -0.080   0.032  -0.081  -0.156  -0.069
  -0.001   1.000   0.177  -0.248   0.134  -0.027   0.078  -0.019   0.050  -0.024   0.035  -0.023   0.025   0.082   0.032
   0.024   0.177   1.000  -0.013  -0.111   0.089  -0.190   0.077  -0.020   0.062  -0.092   0.037  -0.092  -0.194  -0.022
   0.145  -0.248  -0.013   1.000   0.038  -0.240   0.202  -0.069   0.054  -0.063   0.092  -0.044   0.084   0.202   0.039
  -0.031   0.134  -0.111   0.038   1.000   0.071  -0.143   0.049  -0.039   0.044  -0.063   0.031  -0.058  -0.134  -0.050
   0.205  -0.027   0.089  -0.240   0.071   1.000   0.168  -0.055   0.053  -0.053   0.077  -0.038   0.069   0.166   0.049
  -0.157   0.078  -0.190   0.202  -0.143   0.168   1.000  -0.214   0.220  -0.219   0.374  -0.173   0.326   0.992  -0.626
   0.072  -0.019   0.077  -0.069   0.049  -0.055  -0.214   1.000   0.138  -0.049   0.128  -0.146   0.014  -0.225   0.036
  -0.014   0.050  -0.020   0.054  -0.039   0.053   0.220   0.138   1.000   0.203  -0.076   0.049  -0.074   0.223  -0.117
   0.056  -0.024   0.062  -0.063   0.044  -0.053  -0.219  -0.049   0.203   1.000   0.065  -0.189   0.057  -0.217   0.068
  -0.080   0.035  -0.092   0.092  -0.063   0.077   0.374   0.128  -0.076   0.065   1.000   0.038  -0.153   0.375  -0.173
   0.032  -0.023   0.037  -0.044   0.031  -0.038  -0.173  -0.146   0.049  -0.189   0.038   1.000   0.136  -0.174   0.079
  -0.081   0.025  -0.092   0.084  -0.058   0.069   0.326   0.014  -0.074   0.057  -0.153   0.136   1.000   0.331  -0.132
  -0.156   0.082  -0.194   0.202  -0.134   0.166   0.992  -0.225   0.223  -0.217   0.375  -0.174   0.331   1.000  -0.620
  -0.069   0.032  -0.022   0.039  -0.050   0.049  -0.626   0.036  -0.117   0.068  -0.173   0.079  -0.132  -0.620   1.000

Number of iterations    16
Minutes to convergence     0.00192

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527057
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5743        0.0799  -19.713   0.0000      0.0000
P02              0.0305        0.0024   12.845   0.0000      0.0000
P03              0.2105        0.0786    2.679   0.0074      0.0000
P04              0.4475        0.0422   10.597   0.0000      0.0000
P05             -0.0633        0.0448   -1.413   0.1578      0.0000
P06             -0.3260        0.1205   -2.706   0.0068      0.0000
P07             -0.1313        0.0536   -2.450   0.0143      0.0000

Correlation matrix of the parameters
   1.000  -0.673  -0.874   0.739   0.716   0.933  -0.391
  -0.673   1.000   0.414  -0.744  -0.760  -0.571  -0.242
  -0.874   0.414   1.000  -0.608  -0.561  -0.925   0.603
   0.739  -0.744  -0.608   1.000   0.716   0.711  -0.047
   0.716  -0.760  -0.561   0.716   1.000   0.678   0.035
   0.933  -0.571  -0.925   0.711   0.678   1.000  -0.496
  -0.391  -0.242   0.603  -0.047   0.035  -0.496   1.000

Number of iterations    5
Minutes to convergence     0.00018

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340751
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0351        0.0110    3.193   0.0014      0.0000
P02             -0.0326        0.0109   -2.992   0.0028      0.0000
P03              0.0250        0.0105    2.380   0.0173      0.0000
P04             -0.0284        0.0129   -2.206   0.0274      0.0000
P05              0.0293        0.0070    4.201   0.0000      0.0000
P06              0.0059        0.0110    0.537   0.5915      0.0000
P07              2.2076        0.0119  186.117   0.0000      0.0000
P08              0.0207        0.0100    2.081   0.0375      0.0000
P09             -0.0113        0.0096   -1.182   0.2372      0.0000
P10              0.0157        0.0080    1.948   0.0514      0.0000
P11             -0.0252        0.0110   -2.286   0.0222      0.0000
P12             -0.0006        0.0041   -0.134   0.8935      0.0000
P13             -0.0277        0.0076   -3.637   0.0003      0.0000
P14             -0.5488        0.0116  -47.183   0.0000      0.0000
P15             -0.0929        0.0043  -21.638   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.070  -0.092   0.045  -0.179   0.083   0.000   0.068  -0.066   0.110  -0.011  -0.067   0.025   0.006  -0.485
   0.070   1.000   0.157  -0.073   0.348  -0.080  -0.018  -0.033   0.035   0.055   0.033   0.065   0.109  -0.018   0.192
  -0.092   0.157   1.000   0.007  -0.469   0.116  -0.020   0.042  -0.050  -0.054   0.007  -0.173  -0.198  -0.004  -0.192
   0.045  -0.073   0.007   1.000   0.139  -0.064   0.143   0.021  -0.009  -0.114  -0.077   0.060   0.133   0.084   0.240
  -0.179   0.348  -0.469   0.139   1.000   0.225  -0.002  -0.014   0.183   0.024  -0.019   0.202   0.171   0.014   0.404
   0.083  -0.080   0.116  -0.064   0.225   1.000  -0.015  -0.060   0.059  -0.046   0.015   0.048   0.015  -0.015   0.401
   0.000  -0.018  -0.020   0.143  -0.002  -0.015   1.000   0.015  -0.010  -0.013  -0.094  -0.002   0.077   0.041  -0.022
   0.068  -0.033   0.042   0.021  -0.014  -0.060   0.015   1.000   0.352  -0.457   0.051  -0.012   0.197  -0.005  -0.173
  -0.066   0.035  -0.050  -0.009   0.183   0.059  -0.010   0.352   1.000   0.373  -0.088  -0.198  -0.402   0.011   0.027
   0.110   0.055  -0.054  -0.114   0.024  -0.046  -0.013  -0.457   0.373   1.000   0.151  -0.436  -0.404  -0.026  -0.127
  -0.011   0.033   0.007  -0.077  -0.019   0.015  -0.094   0.051  -0.088   0.151   1.000   0.067  -0.255  -0.047   0.038
  -0.067   0.065  -0.173   0.060   0.202   0.048  -0.002  -0.012  -0.198  -0.436   0.067   1.000   0.470  -0.018   0.179
   0.025   0.109  -0.198   0.133   0.171   0.015   0.077   0.197  -0.402  -0.404  -0.255   0.470   1.000   0.073   0.196
   0.006  -0.018  -0.004   0.084   0.014  -0.015   0.041  -0.005   0.011  -0.026  -0.047  -0.018   0.073   1.000  -0.004
  -0.485   0.192  -0.192   0.240   0.404   0.401  -0.022  -0.173   0.027  -0.127   0.038   0.179   0.196  -0.004   1.000

Number of iterations    6
Minutes to convergence     0.00085

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527042
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5741        0.0309  -50.942   0.0000      0.0000
P02              0.0305        0.0023   13.415   0.0000      0.0000
P03              0.2105        0.0233    9.031   0.0000      0.0000
P04              0.4477        0.0344   13.024   0.0000      0.0000
P05             -0.0631        0.0391   -1.615   0.1063      0.0000
P06             -0.3259        0.0291  -11.208   0.0000      0.0000
P07             -0.1310        0.0488   -2.681   0.0073      0.0000

Correlation matrix of the parameters
   1.000  -0.695   0.126   0.498   0.542   0.412   0.592
  -0.695   1.000  -0.235  -0.699  -0.726  -0.533  -0.813
   0.126  -0.235   1.000   0.138   0.149   0.119   0.161
   0.498  -0.699   0.138   1.000   0.602   0.460   0.657
   0.542  -0.726   0.149   0.602   1.000   0.500   0.714
   0.412  -0.533   0.119   0.460   0.500   1.000   0.548
   0.592  -0.813   0.161   0.657   0.714   0.548   1.000

Number of iterations    3
Minutes to convergence     0.00017

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340751
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0351        0.0057    6.199   0.0000      0.0000
P02             -0.0326        0.0061   -5.377   0.0000      0.0000
P03              0.0250        0.0050    4.970   0.0000      0.0000
P04             -0.0283        0.0137   -2.071   0.0383      0.0000
P05              0.0293        0.0042    6.952   0.0000      0.0000
P06              0.0059        0.0069    0.857   0.3913      0.0000
P07              2.2095        0.1509   14.646   0.0000      0.0000
P08              0.0207        0.0049    4.252   0.0000      0.0000
P09             -0.0113        0.0052   -2.189   0.0286      0.0000
P10              0.0157        0.0045    3.467   0.0005      0.0000
P11             -0.0252        0.0120   -2.098   0.0359      0.0000
P12             -0.0005        0.0036   -0.154   0.8776      0.0000
P13             -0.0277        0.0059   -4.709   0.0000      0.0000
P14             -0.5472        0.1332   -4.108   0.0000      0.0000
P15             -0.0929        0.0038  -24.659   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.017   0.058   0.102  -0.012   0.163  -0.219   0.072  -0.048   0.040  -0.108   0.045  -0.067  -0.215  -0.020
   0.017   1.000   0.185  -0.219   0.110  -0.001   0.120  -0.034   0.016  -0.037   0.049  -0.020   0.051   0.123  -0.005
   0.058   0.185   1.000  -0.054  -0.086   0.048  -0.255   0.074  -0.051   0.049  -0.117   0.049  -0.080  -0.256   0.030
   0.102  -0.219  -0.054   1.000   0.017  -0.222   0.270  -0.069   0.061  -0.076   0.098  -0.046   0.098   0.270  -0.022
  -0.012   0.110  -0.086   0.017   1.000   0.054  -0.193   0.053  -0.038   0.054  -0.069   0.033  -0.072  -0.185  -0.004
   0.163  -0.001   0.048  -0.222   0.054   1.000   0.226  -0.059   0.057  -0.072   0.068  -0.038   0.089   0.225  -0.005
  -0.219   0.120  -0.255   0.270  -0.193   0.226   1.000  -0.174   0.186  -0.186   0.324  -0.147   0.283   0.993  -0.660
   0.072  -0.034   0.074  -0.069   0.053  -0.059  -0.174   1.000   0.161  -0.063   0.165  -0.162   0.031  -0.183   0.021
  -0.048   0.016  -0.051   0.061  -0.038   0.057   0.186   0.161   1.000   0.231  -0.098   0.051  -0.116   0.187  -0.098
   0.040  -0.037   0.049  -0.076   0.054  -0.072  -0.186  -0.063   0.231   1.000   0.080  -0.203   0.074  -0.186   0.057
  -0.108   0.049  -0.117   0.098  -0.069   0.068   0.324   0.165  -0.098   0.080   1.000   0.062  -0.189   0.324  -0.154
   0.045  -0.020   0.049  -0.046   0.033  -0.038  -0.147  -0.162   0.051  -0.203   0.062   1.000   0.157  -0.147   0.068
  -0.067   0.051  -0.080   0.098  -0.072   0.089   0.283   0.031  -0.116   0.074  -0.189   0.157   1.000   0.288  -0.119
  -0.215   0.123  -0.256   0.270  -0.185   0.225   0.993  -0.183   0.187  -0.186   0.324  -0.147   0.288   1.000  -0.655
  -0.020  -0.005   0.030  -0.022  -0.004  -0.005  -0.660   0.021  -0.098   0.057  -0.154   0.068  -0.119  -0.655   1.000

Number of iterations    16
Minutes to convergence     0.00192

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527027
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5737        0.0673  -23.368   0.0000      0.0000
P02              0.0305        0.0022   13.964   0.0000      0.0000
P03              0.2102        0.0851    2.469   0.0136      0.0000
P04              0.4480        0.0465    9.626   0.0000      0.0000
P05             -0.0627        0.0452   -1.389   0.1649      0.0000
P06             -0.3254        0.0981   -3.318   0.0009      0.0000
P07             -0.1308        0.0514   -2.543   0.0110      0.0000

Correlation matrix of the parameters
   1.000  -0.620  -0.871   0.778   0.719   0.904  -0.365
  -0.620   1.000   0.375  -0.702  -0.722  -0.492  -0.303
  -0.871   0.375   1.000  -0.695  -0.605  -0.929   0.572
   0.778  -0.702  -0.695   1.000   0.739   0.757  -0.103
   0.719  -0.722  -0.605   0.739   1.000   0.680   0.021
   0.904  -0.492  -0.929   0.757   0.680   1.000  -0.489
  -0.365  -0.303   0.572  -0.103   0.021  -0.489   1.000

Number of iterations    5
Minutes to convergence     0.00035

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340751
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0351        0.0110    3.181   0.0015      0.0000
P02             -0.0326        0.0109   -3.004   0.0027      0.0000
P03              0.0250        0.0104    2.406   0.0161      0.0000
P04             -0.0283        0.0131   -2.166   0.0303      0.0000
P05              0.0293        0.0067    4.342   0.0000      0.0000
P06              0.0059        0.0109    0.543   0.5869      0.0000
P07              2.2095        0.0119  186.039   0.0000      0.0000
P08              0.0207        0.0100    2.075   0.0380      0.0000
P09             -0.0113        0.0096   -1.174   0.2402      0.0000
P10              0.0157        0.0081    1.927   0.0540      0.0000
P11             -0.0252        0.0111   -2.279   0.0226      0.0000
P12             -0.0005        0.0042   -0.129   0.8973      0.0000
P13             -0.0277        0.0078   -3.549   0.0004      0.0000
P14             -0.5471        0.0116  -47.238   0.0000      0.0000
P15             -0.0929        0.0043  -21.458   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.072  -0.103   0.069  -0.167   0.084   0.008   0.060  -0.069   0.059  -0.038  -0.069  -0.028   0.010  -0.475
   0.072   1.000   0.174  -0.078   0.336  -0.085  -0.020  -0.037   0.032   0.081   0.040   0.073   0.140  -0.017   0.184
  -0.103   0.174   1.000   0.002  -0.451   0.110  -0.021   0.050  -0.050  -0.094   0.005  -0.204  -0.261  -0.002  -0.192
   0.069  -0.078   0.002   1.000   0.158  -0.012   0.149   0.018  -0.005  -0.122  -0.089   0.081   0.145   0.071   0.259
  -0.167   0.336  -0.451   0.158   1.000   0.234   0.002  -0.028   0.186   0.073  -0.028   0.246   0.253   0.014   0.403
   0.084  -0.085   0.110  -0.012   0.234   1.000   0.002  -0.073   0.071  -0.085  -0.036   0.078  -0.003  -0.003   0.410
   0.008  -0.020  -0.021   0.149   0.002   0.002   1.000   0.014  -0.011  -0.016  -0.097   0.002   0.079   0.035  -0.015
   0.060  -0.037   0.050   0.018  -0.028  -0.073   0.014   1.000   0.356  -0.420   0.056  -0.007   0.229  -0.007  -0.176
  -0.069   0.032  -0.050  -0.005   0.186   0.071  -0.011   0.356   1.000   0.413  -0.084  -0.171  -0.314   0.010   0.041
   0.059   0.081  -0.094  -0.122   0.073  -0.085  -0.016  -0.420   0.413   1.000   0.159  -0.423  -0.373  -0.025  -0.101
  -0.038   0.040   0.005  -0.089  -0.028  -0.036  -0.097   0.056  -0.084   0.159   1.000   0.055  -0.253  -0.037   0.024
  -0.069   0.073  -0.204   0.081   0.246   0.078   0.002  -0.007  -0.171  -0.423   0.055   1.000   0.494  -0.015   0.218
  -0.028   0.140  -0.261   0.145   0.253  -0.003   0.079   0.229  -0.314  -0.373  -0.253   0.494   1.000   0.064   0.251
   0.010  -0.017  -0.002   0.071   0.014  -0.003   0.035  -0.007   0.010  -0.025  -0.037  -0.015   0.064   1.000  -0.003
  -0.475   0.184  -0.192   0.259   0.403   0.410  -0.015  -0.176   0.041  -0.101   0.024   0.218   0.251  -0.003   1.000

Number of iterations    6
Minutes to convergence     0.00088

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527017
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5736        0.0343  -45.864   0.0000      0.0000
P02              0.0305        0.0023   13.080   0.0000      0.0000
P03              0.2102        0.0229    9.186   0.0000      0.0000
P04              0.4482        0.0357   12.562   0.0000      0.0000
P05             -0.0625        0.0403   -1.551   0.1209      0.0000
P06             -0.3253        0.0340   -9.569   0.0000      0.0000
P07             -0.1306        0.0468   -2.793   0.0052      0.0000

Correlation matrix of the parameters
   1.000  -0.746  -0.003   0.569   0.612   0.549   0.650
  -0.746   1.000  -0.074  -0.719  -0.742  -0.639  -0.813
  -0.003  -0.074   1.000  -0.006  -0.007   0.001  -0.011
   0.569  -0.719  -0.006   1.000   0.629   0.568   0.667
   0.612  -0.742  -0.007   0.629   1.000   0.611   0.717
   0.549  -0.639   0.001   0.568   0.611   1.000   0.651
   0.650  -0.813  -0.011   0.667   0.717   0.651   1.000

Number of iterations    3
Minutes to convergence     0.00018

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340752
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0352        0.0109    3.216   0.0013      0.0000
P02             -0.0327        0.0108   -3.015   0.0026      0.0000
P03              0.0250        0.0105    2.377   0.0175      0.0000
P04             -0.0283        0.0148   -1.904   0.0569      0.0000
P05              0.0293        0.0069    4.232   0.0000      0.0000
P06              0.0059        0.0111    0.535   0.5929      0.0000
P07              2.2095        0.0121  181.982   0.0000      0.0000
P08              0.0207        0.0099    2.097   0.0360      0.0000
P09             -0.0113        0.0093   -1.215   0.2243      0.0000
P10              0.0157        0.0096    1.638   0.1013      0.0000
P11             -0.0252        0.0128   -1.975   0.0482      0.0000
P12             -0.0005        0.0057   -0.094   0.9252      0.0000
P13             -0.0277        0.0102   -2.726   0.0064      0.0000
P14             -0.5471        0.0120  -45.469   0.0000      0.0000
P15             -0.0929        0.0043  -21.556   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.098  -0.089   0.033  -0.162   0.052   0.013   0.096  -0.064   0.107   0.003  -0.095   0.005   0.017  -0.503
   0.098   1.000   0.118  -0.065   0.356  -0.041  -0.029  -0.093   0.014  -0.124   0.016   0.146  -0.056  -0.032   0.224
  -0.089   0.118   1.000   0.103  -0.440   0.117   0.012   0.055  -0.088   0.000  -0.084  -0.228  -0.075   0.025  -0.193
   0.033  -0.065   0.103   1.000   0.154  -0.194   0.228   0.091   0.071   0.239  -0.312  -0.311   0.303   0.202   0.121
  -0.162   0.356  -0.440   0.154   1.000   0.208   0.000  -0.009   0.235   0.092  -0.060   0.090   0.142   0.022   0.377
   0.052  -0.041   0.117  -0.194   0.208   1.000  -0.052  -0.015   0.063   0.002   0.174   0.084   0.039  -0.061   0.393
   0.013  -0.029   0.012   0.228   0.000  -0.052   1.000   0.013   0.027   0.070  -0.192  -0.089   0.106   0.098  -0.044
   0.096  -0.093   0.055   0.091  -0.009  -0.015   0.013   1.000   0.338  -0.336  -0.041  -0.089   0.203   0.003  -0.176
  -0.064   0.014  -0.088   0.071   0.235   0.063   0.027   0.338   1.000   0.202  -0.159  -0.163  -0.377   0.045   0.050
   0.107  -0.124   0.000   0.239   0.092   0.002   0.070  -0.336   0.202   1.000  -0.193  -0.650   0.122   0.060  -0.121
   0.003   0.016  -0.084  -0.312  -0.060   0.174  -0.192  -0.041  -0.159  -0.193   1.000   0.390  -0.371  -0.164   0.120
  -0.095   0.146  -0.228  -0.311   0.090   0.084  -0.089  -0.089  -0.163  -0.650   0.390   1.000  -0.047  -0.105   0.220
   0.005  -0.056  -0.075   0.303   0.142   0.039   0.106   0.203  -0.377   0.122  -0.371  -0.047   1.000   0.120   0.130
   0.017  -0.032   0.025   0.202   0.022  -0.061   0.098   0.003   0.045   0.060  -0.164  -0.105   0.120   1.000  -0.023
  -0.503   0.224  -0.193   0.121   0.377   0.393  -0.044  -0.176   0.050  -0.121   0.120   0.220   0.130  -0.023   1.000

Number of iterations    5
Minutes to convergence     0.00072

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.527007
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5735        0.0374  -42.081   0.0000      0.0000
P02              0.0305        0.0023   13.013   0.0000      0.0000
P03              0.2101        0.0265    7.918   0.0000      0.0000
P04              0.4483        0.0399   11.229   0.0000      0.0000
P05             -0.0624        0.0442   -1.411   0.1581      0.0000
P06             -0.3252        0.0383   -8.493   0.0000      0.0000
P07             -0.1304        0.0429   -3.040   0.0024      0.0000

Correlation matrix of the parameters
   1.000  -0.775  -0.401   0.646   0.675   0.633   0.671
  -0.775   1.000   0.361  -0.756  -0.765  -0.691  -0.800
  -0.401   0.361   1.000  -0.419  -0.439  -0.403  -0.441
   0.646  -0.756  -0.419   1.000   0.699   0.658   0.693
   0.675  -0.765  -0.439   0.699   1.000   0.688   0.723
   0.633  -0.691  -0.403   0.658   0.688   1.000   0.687
   0.671  -0.800  -0.441   0.693   0.723   0.687   1.000

Number of iterations    3
Minutes to convergence     0.00018

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340752
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0351        0.0069    5.113   0.0000      0.0000
P02             -0.0327        0.0062   -5.288   0.0000      0.0000
P03              0.0250        0.0051    4.930   0.0000      0.0000
P04             -0.0282        0.0131   -2.161   0.0307      0.0000
P05              0.0293        0.0045    6.551   0.0000      0.0000
P06              0.0059        0.0073    0.817   0.4140      0.0000
P07              2.2111        0.1558   14.190   0.0000      0.0000
P08              0.0207        0.0051    4.094   0.0000      0.0000
P09             -0.0113        0.0051   -2.199   0.0279      0.0000
P10              0.0157        0.0046    3.411   0.0006      0.0000
P11             -0.0252        0.0121   -2.091   0.0365      0.0000
P12             -0.0005        0.0036   -0.150   0.8811      0.0000
P13             -0.0277        0.0059   -4.727   0.0000      0.0000
P14             -0.5456        0.1512   -3.608   0.0003      0.0000
P15             -0.0929        0.0039  -23.791   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.117  -0.003   0.061   0.164   0.313  -0.364   0.186   0.000   0.126  -0.152   0.068  -0.087  -0.364   0.131
   0.117   1.000   0.151  -0.218   0.179   0.032   0.027   0.030   0.030  -0.011   0.051   0.003   0.027   0.025   0.066
  -0.003   0.151   1.000  -0.018  -0.129   0.047  -0.165   0.040  -0.054   0.042  -0.078   0.029  -0.078  -0.160  -0.022
   0.061  -0.218  -0.018   1.000  -0.008  -0.196   0.269  -0.114   0.073  -0.077   0.039  -0.058   0.137   0.270  -0.043
   0.164   0.179  -0.129  -0.008   1.000   0.134  -0.289   0.138  -0.013   0.092  -0.116   0.061  -0.083  -0.288   0.087
   0.313   0.032   0.047  -0.196   0.134   1.000   0.088   0.002   0.051  -0.011   0.074  -0.024   0.055   0.082   0.090
  -0.364   0.027  -0.165   0.269  -0.289   0.088   1.000  -0.273   0.146  -0.230   0.374  -0.168   0.297   0.994  -0.689
   0.186   0.030   0.040  -0.114   0.138   0.002  -0.273   1.000   0.171  -0.028   0.117  -0.118   0.014  -0.274   0.099
   0.000   0.030  -0.054   0.073  -0.013   0.051   0.146   0.171   1.000   0.223  -0.088   0.058  -0.115   0.152  -0.074
   0.126  -0.011   0.042  -0.077   0.092  -0.011  -0.230  -0.028   0.223   1.000   0.052  -0.192   0.064  -0.233   0.099
  -0.152   0.051  -0.078   0.039  -0.116   0.074   0.374   0.117  -0.088   0.052   1.000   0.057  -0.150   0.372  -0.215
   0.068   0.003   0.029  -0.058   0.061  -0.024  -0.168  -0.118   0.058  -0.192   0.057   1.000   0.146  -0.172   0.089
  -0.087   0.027  -0.078   0.137  -0.083   0.055   0.297   0.014  -0.115   0.064  -0.150   0.146   1.000   0.295  -0.129
  -0.364   0.025  -0.160   0.270  -0.288   0.082   0.994  -0.274   0.152  -0.233   0.372  -0.172   0.295   1.000  -0.688
   0.131   0.066  -0.022  -0.043   0.087   0.090  -0.689   0.099  -0.074   0.099  -0.215   0.089  -0.129  -0.688   1.000

Number of iterations    16
Minutes to convergence     0.00188

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.526999
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5731        0.0722  -21.797   0.0000      0.0000
P02              0.0305        0.0021   14.401   0.0000      0.0000
P03              0.2098        0.0825    2.542   0.0110      0.0000
P04              0.4486        0.0441   10.174   0.0000      0.0000
P05             -0.0621        0.0430   -1.444   0.1489      0.0000
P06             -0.3247        0.1060   -3.062   0.0022      0.0000
P07             -0.1304        0.0520   -2.507   0.0122      0.0000

Correlation matrix of the parameters
   1.000  -0.614  -0.892   0.747   0.683   0.917  -0.471
  -0.614   1.000   0.412  -0.707  -0.716  -0.492  -0.203
  -0.892   0.412   1.000  -0.675  -0.589  -0.936   0.615
   0.747  -0.707  -0.675   1.000   0.713   0.717  -0.146
   0.683  -0.716  -0.589   0.713   1.000   0.636  -0.027
   0.917  -0.492  -0.936   0.717   0.636   1.000  -0.583
  -0.471  -0.203   0.615  -0.146  -0.027  -0.583   1.000

Number of iterations    5
Minutes to convergence     0.00018

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340752
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0352        0.0109    3.218   0.0013      0.0000
P02             -0.0327        0.0108   -3.036   0.0024      0.0000
P03              0.0250        0.0103    2.422   0.0155      0.0000
P04             -0.0282        0.0147   -1.917   0.0552      0.0000
P05              0.0293        0.0063    4.678   0.0000      0.0000
P06              0.0059        0.0108    0.549   0.5828      0.0000
P07              2.2111        0.0118  187.194   0.0000      0.0000
P08              0.0207        0.0098    2.121   0.0339      0.0000
P09             -0.0113        0.0098   -1.160   0.2459      0.0000
P10              0.0157        0.0101    1.555   0.1198      0.0000
P11             -0.0252        0.0128   -1.968   0.0491      0.0000
P12             -0.0005        0.0060   -0.089   0.9291      0.0000
P13             -0.0277        0.0102   -2.712   0.0067      0.0000
P14             -0.5456        0.0115  -47.436   0.0000      0.0000
P15             -0.0929        0.0044  -21.304   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.039  -0.087  -0.021  -0.267   0.124  -0.012   0.028  -0.072   0.070   0.059   0.065   0.026  -0.003  -0.454
   0.039   1.000   0.171  -0.263   0.280   0.008  -0.051  -0.071   0.010   0.011   0.257   0.247   0.081  -0.024   0.230
  -0.087   0.171   1.000   0.078  -0.367   0.106   0.004   0.148  -0.102   0.028  -0.063  -0.378  -0.107   0.009  -0.242
  -0.021  -0.263   0.078   1.000   0.125  -0.058   0.163  -0.049  -0.145   0.115  -0.312  -0.246   0.293   0.041   0.190
  -0.267   0.280  -0.367   0.125   1.000   0.273  -0.017  -0.166   0.130   0.080  -0.014   0.222   0.187   0.004   0.443
   0.124   0.008   0.106  -0.058   0.273   1.000  -0.024  -0.051   0.142  -0.108  -0.003   0.096  -0.084  -0.007   0.397
  -0.012  -0.051   0.004   0.163  -0.017  -0.024   1.000  -0.017  -0.026   0.028  -0.141  -0.053   0.072   0.016  -0.032
   0.028  -0.071   0.148  -0.049  -0.166  -0.051  -0.017   1.000   0.349  -0.242   0.117   0.054   0.280  -0.020  -0.179
  -0.072   0.010  -0.102  -0.145   0.130   0.142  -0.026   0.349   1.000   0.288   0.101   0.112  -0.202   0.002   0.095
   0.070   0.011   0.028   0.115   0.080  -0.108   0.028  -0.242   0.288   1.000  -0.066  -0.548   0.156  -0.002  -0.155
   0.059   0.257  -0.063  -0.312  -0.014  -0.003  -0.141   0.117   0.101  -0.066   1.000   0.336  -0.369  -0.029   0.042
   0.065   0.247  -0.378  -0.246   0.222   0.096  -0.053   0.054   0.112  -0.548   0.336   1.000   0.013  -0.034   0.238
   0.026   0.081  -0.107   0.293   0.187  -0.084   0.072   0.280  -0.202   0.156  -0.369   0.013   1.000   0.039   0.112
  -0.003  -0.024   0.009   0.041   0.004  -0.007   0.016  -0.020   0.002  -0.002  -0.029  -0.034   0.039   1.000  -0.014
  -0.454   0.230  -0.242   0.190   0.443   0.397  -0.032  -0.179   0.095  -0.155   0.042   0.238   0.112  -0.014   1.000

Number of iterations    5
Minutes to convergence     0.00072

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.526994
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5730        0.0426  -36.939   0.0000      0.0000
P02              0.0305        0.0025   12.367   0.0000      0.0000
P03              0.2098        0.0231    9.099   0.0000      0.0000
P04              0.4487        0.0351   12.799   0.0000      0.0000
P05             -0.0620        0.0406   -1.528   0.1265      0.0000
P06             -0.3246        0.0523   -6.202   0.0000      0.0000
P07             -0.1302        0.0433   -3.006   0.0026      0.0000

Correlation matrix of the parameters
   1.000  -0.815  -0.105   0.638   0.696   0.758   0.720
  -0.815   1.000   0.035  -0.722  -0.756  -0.784  -0.813
  -0.105   0.035   1.000  -0.099  -0.108  -0.107  -0.116
   0.638  -0.722  -0.099   1.000   0.623   0.684   0.642
   0.696  -0.756  -0.108   0.623   1.000   0.747   0.700
   0.758  -0.784  -0.107   0.684   0.747   1.000   0.775
   0.720  -0.813  -0.116   0.642   0.700   0.775   1.000

Number of iterations    3
Minutes to convergence     0.00030

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340752
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0352        0.0110    3.186   0.0014      0.0000
P02             -0.0327        0.0109   -3.010   0.0026      0.0000
P03              0.0250        0.0103    2.429   0.0151      0.0000
P04             -0.0282        0.0134   -2.107   0.0351      0.0000
P05              0.0294        0.0070    4.166   0.0000      0.0000
P06              0.0059        0.0110    0.539   0.5898      0.0000
P07              2.2111        0.0122  181.526   0.0000      0.0000
P08              0.0207        0.0100    2.070   0.0385      0.0000
P09             -0.0113        0.0087   -1.300   0.1937      0.0000
P10              0.0157        0.0073    2.156   0.0311      0.0000
P11             -0.0252        0.0125   -2.012   0.0443      0.0000
P12             -0.0005        0.0042   -0.127   0.8987      0.0000
P13             -0.0277        0.0100   -2.771   0.0056      0.0000
P14             -0.5456        0.0117  -46.629   0.0000      0.0000
P15             -0.0929        0.0042  -22.206   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.053  -0.114   0.064  -0.156   0.107  -0.010   0.042  -0.120   0.024  -0.054  -0.130  -0.061   0.003  -0.481
   0.053   1.000   0.101  -0.078   0.400  -0.059   0.029  -0.065  -0.046  -0.228   0.064   0.208  -0.051   0.008   0.228
  -0.114   0.101   1.000   0.047  -0.467   0.169   0.002   0.011  -0.145  -0.187  -0.020  -0.085  -0.120   0.011  -0.136
   0.064  -0.078   0.047   1.000   0.104  -0.087   0.124  -0.033   0.040  -0.025  -0.203  -0.084   0.069   0.078   0.216
  -0.156   0.400  -0.467   0.104   1.000   0.184  -0.005   0.025   0.265   0.038   0.006   0.171   0.071   0.011   0.362
   0.107  -0.059   0.169  -0.087   0.184   1.000  -0.073  -0.010   0.145   0.203   0.022  -0.085   0.117  -0.048   0.375
  -0.010   0.029   0.002   0.124  -0.005  -0.073   1.000   0.021   0.048   0.016  -0.045   0.042   0.033   0.065  -0.054
   0.042  -0.065   0.011  -0.033   0.025  -0.010   0.021   1.000   0.295  -0.583   0.110   0.030   0.162  -0.005  -0.164
  -0.120  -0.046  -0.145   0.040   0.265   0.145   0.048   0.295   1.000   0.057  -0.120  -0.096  -0.466   0.048   0.124
   0.024  -0.228  -0.187  -0.025   0.038   0.203   0.016  -0.583   0.057   1.000   0.090  -0.282  -0.009  -0.007   0.092
  -0.054   0.064  -0.020  -0.203   0.006   0.022  -0.045   0.110  -0.120   0.090   1.000   0.259  -0.130  -0.030   0.040
  -0.130   0.208  -0.085  -0.084   0.171  -0.085   0.042   0.030  -0.096  -0.282   0.259   1.000   0.327  -0.005   0.100
  -0.061  -0.051  -0.120   0.069   0.071   0.117   0.033   0.162  -0.466  -0.009  -0.130   0.327   1.000   0.036   0.218
   0.003   0.008   0.011   0.078   0.011  -0.048   0.065  -0.005   0.048  -0.007  -0.030  -0.005   0.036   1.000  -0.023
  -0.481   0.228  -0.136   0.216   0.362   0.375  -0.054  -0.164   0.124   0.092   0.040   0.100   0.218  -0.023   1.000

Number of iterations    6
Minutes to convergence     0.00082

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.526989
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5729        0.0468  -33.595   0.0000      0.0000
P02              0.0305        0.0025   12.355   0.0000      0.0000
P03              0.2097        0.0298    7.031   0.0000      0.0000
P04              0.4488        0.0400   11.222   0.0000      0.0000
P05             -0.0619        0.0443   -1.398   0.1621      0.0000
P06             -0.3244        0.0604   -5.375   0.0000      0.0000
P07             -0.1302        0.0385   -3.382   0.0007      0.0000

Correlation matrix of the parameters
   1.000  -0.832  -0.559   0.715   0.747   0.807   0.708
  -0.832   1.000   0.494  -0.767  -0.778  -0.805  -0.786
  -0.559   0.494   1.000  -0.530  -0.554  -0.591  -0.531
   0.715  -0.767  -0.530   1.000   0.700   0.761   0.660
   0.747  -0.778  -0.554   0.700   1.000   0.796   0.689
   0.807  -0.805  -0.591   0.761   0.796   1.000   0.758
   0.708  -0.786  -0.531   0.660   0.689   0.758   1.000

Number of iterations    3
Minutes to convergence     0.00017

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340752
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0352        0.0111    3.177   0.0015      0.0000
P02             -0.0327        0.0109   -2.988   0.0028      0.0000
P03              0.0250        0.0107    2.332   0.0197      0.0000
P04             -0.0282        0.0114   -2.462   0.0138      0.0000
P05              0.0294        0.0073    4.012   0.0001      0.0000
P06              0.0059        0.0111    0.534   0.5934      0.0000
P07              2.2111        0.0115  192.240   0.0000      0.0000
P08              0.0207        0.0106    1.959   0.0501      0.0000
P09             -0.0113        0.0106   -1.068   0.2855      0.0000
P10              0.0157        0.0103    1.518   0.1289      0.0000
P11             -0.0252        0.0114   -2.218   0.0265      0.0000
P12             -0.0005        0.0092   -0.057   0.9542      0.0000
P13             -0.0277        0.0107   -2.579   0.0099      0.0000
P14             -0.5456        0.0115  -47.469   0.0000      0.0000
P15             -0.0929        0.0044  -20.904   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.076  -0.092   0.041  -0.195   0.077  -0.006   0.029  -0.026   0.035  -0.013   0.037  -0.023   0.003  -0.455
   0.076   1.000   0.125  -0.044   0.355  -0.082   0.004  -0.034   0.009  -0.036   0.012   0.020   0.009  -0.004   0.199
  -0.092   0.125   1.000   0.045  -0.435   0.097  -0.009   0.043  -0.006   0.048  -0.007  -0.022  -0.005   0.002  -0.228
   0.041  -0.044   0.045   1.000   0.119  -0.038   0.011  -0.019   0.004  -0.027  -0.008  -0.020   0.001   0.005   0.209
  -0.195   0.355  -0.435   0.119   1.000   0.227  -0.010   0.105   0.039   0.100  -0.021  -0.236   0.029   0.013   0.327
   0.077  -0.082   0.097  -0.038   0.227   1.000   0.008  -0.031   0.021  -0.038   0.009  -0.028   0.018  -0.001   0.406
  -0.006   0.004  -0.009   0.011  -0.010   0.008   1.000   0.000  -0.006  -0.002  -0.008   0.001  -0.007   0.003  -0.048
   0.029  -0.034   0.043  -0.019   0.105  -0.031   0.000   1.000   0.170  -0.207   0.079  -0.267   0.158  -0.013  -0.222
  -0.026   0.009  -0.006   0.004   0.039   0.021  -0.006   0.170   1.000   0.204  -0.067   0.309  -0.157   0.007   0.029
   0.035  -0.036   0.048  -0.027   0.100  -0.038  -0.002  -0.207   0.204   1.000   0.097  -0.321   0.190  -0.017  -0.210
  -0.013   0.012  -0.007  -0.008  -0.021   0.009  -0.008   0.079  -0.067   0.097   1.000   0.130  -0.059  -0.002   0.063
   0.037   0.020  -0.022  -0.020  -0.236  -0.028   0.001  -0.267   0.309  -0.321   0.130   1.000   0.283  -0.018   0.169
  -0.023   0.009  -0.005   0.001   0.029   0.018  -0.007   0.158  -0.157   0.190  -0.059   0.283   1.000   0.005   0.053
   0.003  -0.004   0.002   0.005   0.013  -0.001   0.003  -0.013   0.007  -0.017  -0.002  -0.018   0.005   1.000  -0.021
  -0.455   0.199  -0.228   0.209   0.327   0.406  -0.048  -0.222   0.029  -0.210   0.063   0.169   0.053  -0.021   1.000

Number of iterations    3
Minutes to convergence     0.00045

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.526984
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5729        0.0230  -68.500   0.0000      0.0000
P02              0.0305        0.0013   23.766   0.0000      0.0000
P03              0.2097        0.0230    9.132   0.0000      0.0000
P04              0.4488        0.0230   19.542   0.0000      0.0000
P05             -0.0619        0.0230   -2.696   0.0070      0.0000
P06             -0.3244        0.0230  -14.126   0.0000      0.0000
P07             -0.1302        0.0230   -5.668   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.337   0.000   0.000   0.000   0.000   0.000
  -0.337   1.000  -0.148  -0.225  -0.177  -0.050  -0.316
   0.000  -0.148   1.000   0.000   0.000   0.000   0.000
   0.000  -0.225   0.000   1.000   0.000   0.000   0.000
   0.000  -0.177   0.000   0.000   1.000   0.000   0.000
   0.000  -0.050   0.000   0.000   0.000   1.000   0.000
   0.000  -0.316   0.000   0.000   0.000   0.000   1.000

Number of iterations    1
Minutes to convergence     0.00000

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340752
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0352        0.0111    3.175   0.0015      0.0000
P02             -0.0327        0.0109   -2.992   0.0028      0.0000
P03              0.0250        0.0107    2.332   0.0197      0.0000
P04             -0.0282        0.0117   -2.414   0.0158      0.0000
P05              0.0294        0.0072    4.063   0.0000      0.0000
P06              0.0059        0.0111    0.533   0.5942      0.0000
P07              2.2111        0.0115  191.863   0.0000      0.0000
P08              0.0207        0.0106    1.955   0.0505      0.0000
P09             -0.0113        0.0105   -1.074   0.2828      0.0000
P10              0.0157        0.0103    1.515   0.1298      0.0000
P11             -0.0252        0.0116   -2.170   0.0300      0.0000
P12             -0.0005        0.0094   -0.056   0.9555      0.0000
P13             -0.0277        0.0107   -2.589   0.0096      0.0000
P14             -0.5456        0.0115  -47.343   0.0000      0.0000
P15             -0.0929        0.0045  -20.787   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.072  -0.090   0.046  -0.185   0.076  -0.004   0.027  -0.026   0.033  -0.019   0.041  -0.024   0.005  -0.464
   0.072   1.000   0.132  -0.057   0.381  -0.080  -0.001  -0.029   0.000  -0.030   0.023   0.009   0.002  -0.010   0.177
  -0.090   0.132   1.000   0.039  -0.443   0.090  -0.010   0.043   0.006   0.048   0.002   0.001   0.007   0.000  -0.227
   0.046  -0.057   0.039   1.000   0.116  -0.030   0.023  -0.029  -0.003  -0.040  -0.049  -0.034  -0.011   0.019   0.216
  -0.185   0.381  -0.443   0.116   1.000   0.206  -0.007   0.099   0.091   0.097  -0.005  -0.143   0.080   0.015   0.338
   0.076  -0.080   0.090  -0.030   0.206   1.000   0.010  -0.031   0.019  -0.039   0.002  -0.040   0.015   0.001   0.430
  -0.004  -0.001  -0.010   0.023  -0.007   0.010   1.000  -0.003  -0.008  -0.006  -0.022  -0.001  -0.010   0.008  -0.047
   0.027  -0.029   0.043  -0.029   0.099  -0.031  -0.003   1.000   0.171  -0.202   0.088  -0.263   0.159  -0.017  -0.214
  -0.026   0.000   0.006  -0.003   0.091   0.019  -0.008   0.171   1.000   0.205  -0.062   0.306  -0.168   0.005  -0.024
   0.033  -0.030   0.048  -0.040   0.097  -0.039  -0.006  -0.202   0.205   1.000   0.110  -0.313   0.192  -0.022  -0.206
  -0.019   0.023   0.002  -0.049  -0.005   0.002  -0.022   0.088  -0.062   0.110   1.000   0.138  -0.049  -0.017   0.035
   0.041   0.009   0.001  -0.034  -0.143  -0.040  -0.001  -0.263   0.306  -0.313   0.138   1.000   0.283  -0.022   0.062
  -0.024   0.002   0.007  -0.011   0.080   0.015  -0.010   0.159  -0.168   0.192  -0.049   0.283   1.000   0.001   0.000
   0.005  -0.010   0.000   0.019   0.015   0.001   0.008  -0.017   0.005  -0.022  -0.017  -0.022   0.001   1.000  -0.019
  -0.464   0.177  -0.227   0.216   0.338   0.430  -0.047  -0.214  -0.024  -0.206   0.035   0.062   0.000  -0.019   1.000

Number of iterations    3
Minutes to convergence     0.00048

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.526979
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5728        0.0421  -37.388   0.0000      0.0000
P02              0.0305        0.0024   12.815   0.0000      0.0000
P03              0.2096        0.0319    6.580   0.0000      0.0000
P04              0.4489        0.0414   10.833   0.0000      0.0000
P05             -0.0618        0.0467   -1.324   0.1855      0.0000
P06             -0.3243        0.0515   -6.299   0.0000      0.0000
P07             -0.1300        0.0387   -3.360   0.0008      0.0000

Correlation matrix of the parameters
   1.000  -0.807  -0.584   0.698   0.730   0.751   0.682
  -0.807   1.000   0.534  -0.768  -0.780  -0.771  -0.781
  -0.584   0.534   1.000  -0.583  -0.611  -0.621  -0.576
   0.698  -0.768  -0.583   1.000   0.725   0.749   0.674
   0.730  -0.780  -0.611   0.725   1.000   0.783   0.704
   0.751  -0.771  -0.621   0.749   0.783   1.000   0.735
   0.682  -0.781  -0.576   0.674   0.704   0.735   1.000

Number of iterations    3
Minutes to convergence     0.00030

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340752
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0352        0.0110    3.196   0.0014      0.0000
P02             -0.0327        0.0109   -3.004   0.0027      0.0000
P03              0.0250        0.0105    2.382   0.0172      0.0000
P04             -0.0281        0.0133   -2.122   0.0339      0.0000
P05              0.0294        0.0072    4.106   0.0000      0.0000
P06              0.0059        0.0111    0.531   0.5955      0.0000
P07              2.2111        0.0124  178.947   0.0000      0.0000
P08              0.0207        0.0106    1.963   0.0497      0.0000
P09             -0.0113        0.0093   -1.216   0.2241      0.0000
P10              0.0157        0.0100    1.567   0.1171      0.0000
P11             -0.0253        0.0123   -2.061   0.0393      0.0000
P12             -0.0005        0.0072   -0.073   0.9419      0.0000
P13             -0.0277        0.0096   -2.885   0.0039      0.0000
P14             -0.5456        0.0123  -44.254   0.0000      0.0000
P15             -0.0929        0.0044  -20.999   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.077  -0.111   0.039  -0.164   0.088   0.002   0.040  -0.086   0.013  -0.019  -0.038  -0.078   0.011  -0.455
   0.077   1.000   0.134  -0.043   0.385  -0.073  -0.003  -0.040   0.003  -0.043   0.009   0.027  -0.004  -0.011   0.182
  -0.111   0.134   1.000   0.055  -0.418   0.118   0.008   0.061  -0.106  -0.001  -0.025  -0.189  -0.101   0.020  -0.191
   0.039  -0.043   0.055   1.000   0.135  -0.125   0.195   0.030   0.025   0.044  -0.199  -0.131   0.137   0.189   0.175
  -0.164   0.385  -0.418   0.135   1.000   0.156   0.018   0.100   0.194   0.175  -0.018  -0.075   0.206   0.037   0.285
   0.088  -0.073   0.118  -0.125   0.156   1.000  -0.062  -0.054   0.102  -0.015   0.089   0.117   0.062  -0.071   0.412
   0.002  -0.003   0.008   0.195   0.018  -0.062   1.000   0.029   0.019   0.050  -0.148  -0.053   0.100   0.135  -0.063
   0.040  -0.040   0.061   0.030   0.100  -0.054   0.029   1.000   0.235  -0.190   0.038  -0.294   0.233   0.015  -0.241
  -0.086   0.003  -0.106   0.025   0.194   0.102   0.019   0.235   1.000   0.097  -0.117  -0.011  -0.495   0.037   0.102
   0.013  -0.043  -0.001   0.044   0.175  -0.015   0.050  -0.190   0.097   1.000   0.023  -0.676   0.094   0.037  -0.170
  -0.019   0.009  -0.025  -0.199  -0.018   0.089  -0.148   0.038  -0.117   0.023   1.000   0.197  -0.199  -0.141   0.060
  -0.038   0.027  -0.189  -0.131  -0.075   0.117  -0.053  -0.294  -0.011  -0.676   0.197   1.000  -0.109  -0.067   0.304
  -0.078  -0.004  -0.101   0.137   0.206   0.062   0.100   0.233  -0.495   0.094  -0.199  -0.109   1.000   0.116   0.122
   0.011  -0.011   0.020   0.189   0.037  -0.071   0.135   0.015   0.037   0.037  -0.141  -0.067   0.116   1.000  -0.039
  -0.455   0.182  -0.191   0.175   0.285   0.412  -0.063  -0.241   0.102  -0.170   0.060   0.304   0.122  -0.039   1.000

Number of iterations    5
Minutes to convergence     0.00068

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.526978
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5728        0.0230  -68.495   0.0000      0.0000
P02              0.0305        0.0013   23.765   0.0000      0.0000
P03              0.2096        0.0230    9.129   0.0000      0.0000
P04              0.4489        0.0230   19.547   0.0000      0.0000
P05             -0.0618        0.0230   -2.690   0.0071      0.0000
P06             -0.3243        0.0230  -14.120   0.0000      0.0000
P07             -0.1300        0.0230   -5.663   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.337   0.000   0.000   0.000   0.000   0.000
  -0.337   1.000  -0.148  -0.225  -0.177  -0.050  -0.316
   0.000  -0.148   1.000   0.000   0.000   0.000   0.000
   0.000  -0.225   0.000   1.000   0.000   0.000   0.000
   0.000  -0.177   0.000   0.000   1.000   0.000   0.000
   0.000  -0.050   0.000   0.000   0.000   1.000   0.000
   0.000  -0.316   0.000   0.000   0.000   0.000   1.000

Number of iterations    1
Minutes to convergence     0.00000

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340753
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0352        0.0111    3.178   0.0015      0.0000
P02             -0.0327        0.0110   -2.980   0.0029      0.0000
P03              0.0250        0.0107    2.338   0.0194      0.0000
P04             -0.0282        0.0114   -2.467   0.0136      0.0000
P05              0.0294        0.0071    4.128   0.0000      0.0000
P06              0.0059        0.0111    0.534   0.5934      0.0000
P07              2.2111        0.0116  191.000   0.0000      0.0000
P08              0.0207        0.0106    1.958   0.0502      0.0000
P09             -0.0113        0.0105   -1.081   0.2798      0.0000
P10              0.0157        0.0103    1.527   0.1269      0.0000
P11             -0.0253        0.0113   -2.235   0.0254      0.0000
P12             -0.0005        0.0096   -0.055   0.9565      0.0000
P13             -0.0277        0.0107   -2.582   0.0098      0.0000
P14             -0.5456        0.0116  -47.141   0.0000      0.0000
P15             -0.0929        0.0043  -21.703   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.075  -0.091   0.040  -0.200   0.077  -0.006   0.026  -0.022   0.031  -0.011   0.046  -0.023   0.003  -0.473
   0.075   1.000   0.121  -0.039   0.352  -0.083   0.007  -0.020  -0.010  -0.016   0.007  -0.029   0.012  -0.002   0.222
  -0.091   0.121   1.000   0.047  -0.463   0.103  -0.009   0.023   0.019   0.016  -0.007   0.032  -0.012   0.002  -0.218
   0.040  -0.039   0.047   1.000   0.120  -0.043   0.014  -0.012   0.001  -0.017   0.003  -0.027   0.008   0.010   0.216
  -0.200   0.352  -0.463   0.120   1.000   0.251   0.000   0.027   0.146  -0.026  -0.006  -0.002   0.010   0.024   0.414
   0.077  -0.083   0.103  -0.043   0.251   1.000   0.001  -0.025   0.014  -0.025   0.010  -0.038   0.020  -0.007   0.400
  -0.006   0.007  -0.009   0.014   0.000   0.001   1.000   0.004  -0.014   0.000  -0.004  -0.004  -0.006   0.017  -0.060
   0.026  -0.020   0.023  -0.012   0.027  -0.025   0.004   1.000   0.178  -0.212   0.076  -0.275   0.160  -0.009  -0.139
  -0.022  -0.010   0.019   0.001   0.146   0.014  -0.014   0.178   1.000   0.224  -0.076   0.290  -0.164  -0.002  -0.085
   0.031  -0.016   0.016  -0.017  -0.026  -0.025   0.000  -0.212   0.224   1.000   0.092  -0.328   0.193  -0.016  -0.073
  -0.011   0.007  -0.007   0.003  -0.006   0.010  -0.004   0.076  -0.076   0.092   1.000   0.119  -0.068   0.001   0.055
   0.046  -0.029   0.032  -0.027  -0.002  -0.038  -0.004  -0.275   0.290  -0.328   0.119   1.000   0.252  -0.024  -0.083
  -0.023   0.012  -0.012   0.008   0.010   0.020  -0.006   0.160  -0.164   0.193  -0.068   0.252   1.000   0.005   0.081
   0.003  -0.002   0.002   0.010   0.024  -0.007   0.017  -0.009  -0.002  -0.016   0.001  -0.024   0.005   1.000  -0.032
  -0.473   0.222  -0.218   0.216   0.414   0.400  -0.060  -0.139  -0.085  -0.073   0.055  -0.083   0.081  -0.032   1.000

Number of iterations    3
Minutes to convergence     0.00050

===============================================================================
               LC Discrete Choice Model - EM Algorithm - Weights               
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.526974
Number of cases     1896

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01             -1.5728        0.0474  -33.153   0.0000      0.0000
P02              0.0305        0.0024   12.853   0.0000      0.0000
P03              0.2096        0.0421    4.984   0.0000      0.0000
P04              0.4489        0.0454    9.890   0.0000      0.0000
P05             -0.0618        0.0482   -1.283   0.1996      0.0000
P06             -0.3243        0.0620   -5.229   0.0000      0.0000
P07             -0.1300        0.0332   -3.912   0.0001      0.0000

Correlation matrix of the parameters
   1.000  -0.825  -0.734   0.755   0.770   0.813   0.639
  -0.825   1.000   0.664  -0.787  -0.785  -0.794  -0.729
  -0.734   0.664   1.000  -0.725  -0.739  -0.778  -0.616
   0.755  -0.787  -0.725   1.000   0.758   0.803   0.627
   0.770  -0.785  -0.739   0.758   1.000   0.819   0.639
   0.813  -0.794  -0.778   0.803   0.819   1.000   0.682
   0.639  -0.729  -0.616   0.627   0.639   0.682   1.000

Number of iterations    2
Minutes to convergence     0.00003

===============================================================================
                    LC Discrete Choice Model - EM Algorithm                    
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:46 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.340753
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
Estimated Hessian from the secant update

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              0.0352        0.0111    3.176   0.0015      0.0000
P02             -0.0327        0.0110   -2.980   0.0029      0.0000
P03              0.0250        0.0107    2.325   0.0200      0.0000
P04             -0.0281        0.0117   -2.411   0.0159      0.0000
P05              0.0294        0.0070    4.212   0.0000      0.0000
P06              0.0059        0.0111    0.533   0.5940      0.0000
P07              2.2111        0.0118  187.914   0.0000      0.0000
P08              0.0207        0.0106    1.956   0.0504      0.0000
P09             -0.0113        0.0105   -1.079   0.2808      0.0000
P10              0.0157        0.0103    1.515   0.1298      0.0000
P11             -0.0253        0.0114   -2.211   0.0270      0.0000
P12             -0.0005        0.0095   -0.055   0.9562      0.0000
P13             -0.0277        0.0107   -2.587   0.0097      0.0000
P14             -0.5456        0.0118  -46.227   0.0000      0.0000
P15             -0.0929        0.0045  -20.762   0.0000      0.0000

Correlation matrix of the parameters
   1.000   0.072  -0.087   0.041  -0.189   0.075  -0.003   0.027  -0.025   0.034  -0.013   0.045  -0.023   0.006  -0.470
   0.072   1.000   0.118  -0.043   0.361  -0.078  -0.001  -0.025  -0.005  -0.032   0.009  -0.013   0.004  -0.010   0.218
  -0.087   0.118   1.000   0.038  -0.453   0.096  -0.012   0.032   0.013   0.044  -0.001   0.018   0.001  -0.002  -0.241
   0.041  -0.043   0.038   1.000   0.124  -0.043   0.053  -0.022  -0.009  -0.039  -0.029  -0.035  -0.006   0.051   0.214
  -0.189   0.361  -0.453   0.124   1.000   0.234   0.015   0.061   0.138   0.083  -0.005  -0.089   0.065   0.040   0.386
   0.075  -0.078   0.096  -0.043   0.234   1.000   0.000  -0.026   0.018  -0.033   0.013  -0.036   0.018  -0.008   0.408
  -0.003  -0.001  -0.012   0.053   0.015   0.000   1.000  -0.006  -0.022  -0.018  -0.034  -0.009  -0.018   0.051  -0.058
   0.027  -0.025   0.032  -0.022   0.061  -0.026  -0.006   1.000   0.176  -0.204   0.080  -0.271   0.161  -0.020  -0.170
  -0.025  -0.005   0.013  -0.009   0.138   0.018  -0.022   0.176   1.000   0.209  -0.066   0.304  -0.169  -0.011  -0.064
   0.034  -0.032   0.044  -0.039   0.083  -0.033  -0.018  -0.204   0.209   1.000   0.102  -0.314   0.192  -0.035  -0.188
  -0.013   0.009  -0.001  -0.029  -0.005   0.013  -0.034   0.080  -0.066   0.102   1.000   0.130  -0.060  -0.031   0.041
   0.045  -0.013   0.018  -0.035  -0.089  -0.036  -0.009  -0.271   0.304  -0.314   0.130   1.000   0.269  -0.030  -0.002
  -0.023   0.004   0.001  -0.006   0.065   0.018  -0.018   0.161  -0.169   0.192  -0.060   0.269   1.000  -0.008   0.022
   0.006  -0.010  -0.002   0.051   0.040  -0.008   0.051  -0.020  -0.011  -0.035  -0.031  -0.030  -0.008   1.000  -0.031
  -0.470   0.218  -0.241   0.214   0.386   0.408  -0.058  -0.170  -0.064  -0.188   0.041  -0.002   0.022  -0.031   1.000

Number of iterations    3
Minutes to convergence     0.00048

EM algorithm converged after        53.000000  iterations
Iteration:        1.0000000 

Log-Like: 
      -3152.2037 

ALL PARAMETERS:

      -1.5727663 
     0.030484584 
      0.20964348 
      0.44887876 
    -0.061769373 
     -0.32427722 
     -0.13004040 
     0.035167364 
    -0.032696383 
     0.024991243 
    -0.028149770 
     0.029383907 
    0.0059001984 
       2.2110869 
     0.020723537 
    -0.011331961 
     0.015655911 
    -0.025268524 
  -0.00052357073 
    -0.027713217 
     -0.54560967 
    -0.092897107 

Iteration:        2.0000000 

Log-Like: 
      -3152.1769 

ALL PARAMETERS:

      -1.5714519 
     0.030463592 
      0.20886934 
      0.44939001 
    -0.061300979 
     -0.31966589 
     -0.12973197 
     0.035145365 
    -0.032696080 
     0.024971372 
    -0.027967491 
     0.029406438 
    0.0059141381 
       2.2152789 
     0.020712618 
    -0.011323535 
     0.015643274 
    -0.025265158 
  -0.00052302186 
    -0.027696794 
     -0.54326329 
    -0.092940550 

Iteration:        3.0000000 

Log-Like: 
      -3366.3503 

ALL PARAMETERS:

      -2.5860788 
     0.028923954 
     0.024468989 
     0.060058077 
     -0.55262219 
     -0.63007422 
     -0.26920211 
     0.027634999 
    -0.015513679 
     0.018132100 
    -0.040958633 
     0.014414203 
    0.0025460773 
      0.75277029 
     0.043994848 
     -0.18334384 
      0.11338519 
     -0.43019206 
      -4.8420405 
     -0.22266473 
      -1.4148221 
    -0.066639436 

Iteration:        4.0000000 

Log-Like: 
      -3754.1587 

ALL PARAMETERS:

     -0.36585883 
       28984442. 
      0.10968792 
      0.76035385 
     -0.59726086 
     -0.20723338 
      -1.6773412 
     0.022883038 
    -0.021567149 
     0.018846080 
    -0.026435237 
     0.012670326 
   -0.0011350502 
      0.95038135 
     0.016113316 
    -0.015028057 
     0.011034252 
    -0.025472839 
    0.0075609979 
   -0.0019380817 
      0.41895154 
    -0.055125873 

Iteration:        5.0000000 

Log-Like: 
      -3453.1388 

ALL PARAMETERS:

       2.9298038 
    -0.030121576 
     -0.14107978 
     0.020416948 
      0.83422889 
     -0.11695892 
      0.20360202 
      0.33717351 
     -0.15547219 
      0.29774936 
     -0.48444112 
    -0.050634760 
       4.8482906 
      -1.7804653 
     0.020172345 
    -0.015912274 
     0.014141222 
    -0.031292349 
     0.011084859 
   -0.0015278303 
      0.79500383 
    -0.064218999 

Iteration:        6.0000000 

Log-Like: 
      -3152.1755 

ALL PARAMETERS:

       1.5714130 
    -0.030463498 
     -0.20882588 
     -0.44945069 
     0.061233524 
      0.31960275 
      0.12967976 
     0.020707065 
    -0.011315973 
     0.015637606 
    -0.025232188 
  -0.00052594381 
    -0.027685334 
     -0.54223666 
     0.035138057 
    -0.032692133 
     0.024964661 
    -0.027942948 
     0.029404294 
    0.0059235008 
       2.2163261 
    -0.092956047 

Iteration:        7.0000000 

Log-Like: 
      -3152.2036 

ALL PARAMETERS:

       1.5726933 
    -0.030484148 
     -0.20958300 
     -0.44893481 
     0.061710659 
      0.32419512 
      0.13002417 
     0.020724581 
    -0.011333001 
     0.015656648 
    -0.025264996 
  -0.00052263259 
    -0.027714710 
     -0.54560585 
     0.035167380 
    -0.032696513 
     0.024992248 
    -0.028153099 
     0.029385917 
    0.0059000462 
       2.2111196 
    -0.092895301 

Iteration:        8.0000000 

Log-Like: 
      -3152.2033 

ALL PARAMETERS:

       1.5727386 
    -0.030484335 
     -0.20959881 
     -0.44893386 
     0.061710203 
      0.32417023 
      0.13001088 
     0.020719955 
    -0.011327869 
     0.015652428 
    -0.025259332 
  -0.00052482871 
    -0.027707182 
     -0.54510798 
     0.035165399 
    -0.032695938 
     0.024989424 
    -0.028131833 
     0.029384742 
    0.0059010136 
       2.2115253 
    -0.092903640 

Iteration:        9.0000000 

Log-Like: 
      -3152.2035 

ALL PARAMETERS:

      -1.5727388 
     0.030484316 
      0.20959875 
      0.44893453 
    -0.061711314 
     -0.32418041 
     -0.13001182 
     0.035164798 
    -0.032695601 
     0.024989006 
    -0.028135885 
     0.029384758 
    0.0059022321 
       2.2115161 
     0.020720125 
    -0.011328860 
     0.015651565 
    -0.025256665 
  -0.00052561910 
    -0.027709368 
     -0.54511471 
    -0.092903270 

Iteration:        10.000000 

Log-Like: 
      -3152.1753 

ALL PARAMETERS:

      -1.5714792 
     0.030464891 
      0.20887464 
      0.44937922 
    -0.061312138 
     -0.31966741 
     -0.12973859 
     0.035136423 
    -0.032690292 
     0.024962601 
    -0.027940016 
     0.029401110 
    0.0059249089 
       2.2164012 
     0.020706296 
    -0.011314454 
     0.015636812 
    -0.025230509 
  -0.00052716863 
    -0.027683574 
     -0.54217925 
    -0.092959362 

Iteration:        11.000000 

Log-Like: 
      -3152.2035 

ALL PARAMETERS:

       1.5726890 
    -0.030484078 
     -0.20958044 
     -0.44893652 
     0.061709011 
      0.32418104 
      0.13002316 
     0.020724518 
    -0.011332943 
     0.015656583 
    -0.025264897 
  -0.00052264510 
    -0.027714608 
     -0.54559485 
     0.035167296 
    -0.032696506 
     0.024992167 
    -0.028152432 
     0.029385979 
    0.0059001130 
       2.2111356 
    -0.092895494 

Iteration:        12.000000 

Log-Like: 
      -3152.2037 

ALL PARAMETERS:

      -1.5726831 
     0.030483972 
      0.20957425 
      0.44894173 
    -0.061707054 
     -0.32414458 
     -0.13002196 
     0.035167796 
    -0.032697238 
     0.024991917 
    -0.028147383 
     0.029385879 
    0.0058999177 
       2.2111599 
     0.020723851 
    -0.011332566 
     0.015656184 
    -0.025269140 
  -0.00052282790 
    -0.027713840 
     -0.54558067 
    -0.092895480 

Iteration:        13.000000 

Log-Like: 
      -3152.2037 

ALL PARAMETERS:

       1.5726784 
    -0.030483933 
     -0.20957333 
     -0.44894212 
     0.061706248 
      0.32416169 
      0.13002253 
     0.020723856 
    -0.011332563 
     0.015656185 
    -0.025269146 
  -0.00052282688 
    -0.027713844 
     -0.54558095 
     0.035167802 
    -0.032697247 
     0.024991929 
    -0.028147408 
     0.029385883 
    0.0058999043 
       2.2111591 
    -0.092895476 

Iteration:        14.000000 

Log-Like: 
      -3366.3414 

ALL PARAMETERS:

      -2.5854957 
     0.028916109 
     0.024410072 
     0.060054273 
     -0.55253124 
     -0.62889751 
     -0.26951016 
     0.027633645 
    -0.015511112 
     0.018130545 
    -0.040941056 
     0.014412389 
    0.0025515126 
      0.75332104 
     0.043785651 
     -0.18197893 
      0.11236378 
     -0.42591978 
      -4.3991693 
     -0.22063129 
      -2.2015924 
    -0.066651630 

Iteration:        15.000000 

Log-Like: 
      -3152.1772 

ALL PARAMETERS:

       1.5714711 
    -0.030463847 
     -0.20887657 
     -0.44938506 
     0.061305509 
      0.31966652 
      0.12973477 
     0.020712356 
    -0.011323865 
     0.015643004 
    -0.025264840 
  -0.00052295011 
    -0.027696024 
     -0.54325697 
     0.035144997 
    -0.032695862 
     0.024971520 
    -0.027969116 
     0.029406107 
    0.0059141161 
       2.2152641 
    -0.092940526 

Iteration:        16.000000 

Log-Like: 
      -3152.2007 

ALL PARAMETERS:

       1.5725873 
    -0.030483685 
     -0.20951988 
     -0.44904202 
     0.061596195 
      0.32410130 
      0.12993072 
     0.020715651 
    -0.011322271 
     0.015647770 
    -0.025232242 
  -0.00052621296 
    -0.027698346 
     -0.54417983 
     0.035159747 
    -0.032693551 
     0.024985570 
    -0.028106471 
     0.029388018 
    0.0059057341 
       2.2124815 
    -0.092916006 

Iteration:        17.000000 

Log-Like: 
      -3152.1745 

ALL PARAMETERS:

       1.5713433 
    -0.030463816 
     -0.20880367 
     -0.44949856 
     0.061170964 
      0.31957287 
      0.12962813 
     0.020708360 
    -0.011318990 
     0.015638872 
    -0.025233714 
  -0.00052426541 
    -0.027687435 
     -0.54228098 
     0.035140267 
    -0.032694859 
     0.024968051 
    -0.027945825 
     0.029411414 
    0.0059209088 
       2.2162547 
    -0.092953431 

Iteration:        18.000000 

Log-Like: 
      -3152.2009 

ALL PARAMETERS:

      -1.5726218 
     0.030483347 
      0.20951635 
      0.44903329 
    -0.061611196 
     -0.32396164 
     -0.12994337 
     0.035159418 
    -0.032692766 
     0.024984984 
    -0.028110924 
     0.029386244 
    0.0059068002 
       2.2124421 
     0.020716055 
    -0.011322896 
     0.015648179 
    -0.025232481 
  -0.00052639336 
    -0.027698348 
     -0.54424424 
    -0.092915918 

Iteration:        19.000000 

Log-Like: 
      -3152.2026 

ALL PARAMETERS:

       1.5726827 
    -0.030484004 
     -0.20957596 
     -0.44894033 
     0.061707987 
      0.32417549 
      0.13002353 
     0.020723645 
    -0.011333221 
     0.015655847 
    -0.025270296 
  -0.00052250010 
    -0.027714456 
     -0.54559079 
     0.035168061 
    -0.032698049 
     0.024992498 
    -0.028146884 
     0.029387828 
    0.0058997183 
       2.2111440 
    -0.092896560 

Iteration:        20.000000 

Log-Like: 
      -3152.2031 

ALL PARAMETERS:

      -1.5727131 
     0.030484026 
      0.20958881 
      0.44894002 
    -0.061702764 
     -0.32419072 
     -0.13001050 
     0.035165262 
    -0.032695964 
     0.024989321 
    -0.028130681 
     0.029384916 
    0.0059011062 
       2.2115539 
     0.020719880 
    -0.011327790 
     0.015652334 
    -0.025259189 
  -0.00052482504 
    -0.027707054 
     -0.54508988 
    -0.092903955 

Iteration:        21.000000 

Log-Like: 
      -3152.2030 

ALL PARAMETERS:

       1.5727081 
    -0.030483942 
     -0.20958564 
     -0.44894211 
     0.061700820 
      0.32417104 
      0.13000928 
     0.020719835 
    -0.011327756 
     0.015652284 
    -0.025259110 
  -0.00052482459 
    -0.027706983 
     -0.54507999 
     0.035165174 
    -0.032695959 
     0.024989242 
    -0.028130015 
     0.029385000 
    0.0059011817 
       2.2115706 
    -0.092904131 

Iteration:        22.000000 

Log-Like: 
      -3152.2036 

ALL PARAMETERS:

       1.5726758 
    -0.030483871 
     -0.20957084 
     -0.44894389 
     0.061704737 
      0.32413667 
      0.13002107 
     0.020723784 
    -0.011332498 
     0.015656110 
    -0.025268997 
  -0.00052284096 
    -0.027713727 
     -0.54556794 
     0.035167697 
    -0.032697229 
     0.024991830 
    -0.028146646 
     0.029385955 
    0.0058999902 
       2.2111781 
    -0.092895705 

Iteration:        23.000000 

Log-Like: 
      -3453.1428 

ALL PARAMETERS:

       2.9298906 
    -0.030123031 
     -0.14103840 
     0.020384207 
      0.83423197 
     -0.11731986 
      0.20361581 
      0.33486757 
     -0.15399065 
      0.29622652 
     -0.48167600 
    -0.049875287 
       4.5781292 
      -2.4972357 
     0.020171655 
    -0.015912492 
     0.014140903 
    -0.031292910 
     0.011084472 
   -0.0015280608 
      0.79503733 
    -0.064219678 

Iteration:        24.000000 

Log-Like: 
      -3152.2034 

ALL PARAMETERS:

       1.5727263 
    -0.030484205 
     -0.20959588 
     -0.44893611 
     0.061708467 
      0.32422934 
      0.13001351 
     0.020720137 
    -0.011328852 
     0.015651568 
    -0.025256662 
  -0.00052561884 
    -0.027709383 
     -0.54511609 
     0.035164829 
    -0.032695629 
     0.024989051 
    -0.028136055 
     0.029384761 
    0.0059021858 
       2.2115119 
    -0.092903238 

Iteration:        25.000000 

Log-Like: 
      -3152.2007 

ALL PARAMETERS:

      -1.5726785 
     0.030483780 
      0.20957113 
      0.44895319 
    -0.061696195 
     -0.32405699 
     -0.13000298 
     0.035160408 
    -0.032692174 
     0.024986824 
    -0.028127252 
     0.029385004 
    0.0059032887 
       2.2119604 
     0.020719632 
    -0.011325897 
     0.015651250 
    -0.025243788 
  -0.00052546867 
    -0.027704501 
     -0.54476743 
    -0.092910596 

FINAL RESULTS - FINAL RESULTS - FINAL RESULTS - FINAL RESULTS - FINAL RESULTS
FINAL RESULTS - FINAL RESULTS - FINAL RESULTS - FINAL RESULTS - FINAL RESULTS
FINAL RESULTS - FINAL RESULTS - FINAL RESULTS - FINAL RESULTS - FINAL RESULTS

DIFFERENT LOG-LIKELIHOODS:

      -3152.2037 
      -3152.1769 
      -3366.3503 
      -3754.1587 
      -3453.1388 
      -3152.1755 
      -3152.2036 
      -3152.2033 
      -3152.2035 
      -3152.1753 
      -3152.2035 
      -3152.2037 
      -3152.2037 
      -3366.3414 
      -3152.1772 
      -3152.2007 
      -3152.1745 
      -3152.2009 
      -3152.2026 
      -3152.2031 
      -3152.2030 
      -3152.2036 
      -3453.1428 
      -3152.2034 
      -3152.2007 

BEST FITTING MODEL:
      -3152.1745 

BETAS:

       1.5713433 
    -0.030463816 
     -0.20880367 
     -0.44949856 
     0.061170964 
      0.31957287 
      0.12962813 
     0.020708360 
    -0.011318990 
     0.015638872 
    -0.025233714 
  -0.00052426541 
    -0.027687435 
     -0.54228098 
     0.035140267 
    -0.032694859 
     0.024968051 
    -0.027945825 
     0.029411414 
    0.0059209088 
       2.2162547 
    -0.092953431 


================================================================================
                LC Discrete Choice Model - ML Estimation for SEs

   iteration:  10  
   algorithm: BFGS         step method: STEPBT 
   function:  0.41449      step length:  1.00000      backsteps:  0  
--------------------------------------------------------------------------------
   param.      param. value     relative grad.
       1             1.5652            0.0012
       2            -0.0300            0.0072
       3            -0.2084            0.0001
       4            -0.4490            0.0002
       5             0.0635            0.0004
       6             0.3194            0.0000
       7             0.1269            0.0003
       8             0.0217            0.0048
       9            -0.0120            0.0030
      10             0.0145            0.0028
      11            -0.0273            0.0006
      12            -0.0017            0.0045
      13            -0.0292            0.0013
      14            -0.5457            0.0004
      15             0.0402            0.0012
      16            -0.0381            0.0007
      17             0.0334            0.0000
      18            -0.0335            0.0006
      19             0.0360            0.0008
      20            -0.0026            0.0011
      21             2.2221            0.0017
      22            -0.1012            0.0018

================================================================================
                LC Discrete Choice Model - ML Estimation for SEs

   iteration:  20  
   algorithm: BFGS         step method: STEPBT 
   function:  0.41417      step length:  1.00000      backsteps:  0  
--------------------------------------------------------------------------------
   param.      param. value     relative grad.
       1             1.2730            0.0000
       2            -0.0248            0.0054
       3            -0.1793            0.0004
       4            -0.4211            0.0004
       5             0.1796            0.0003
       6             0.3124            0.0001
       7             0.0175            0.0012
       8             0.0245            0.0014
       9            -0.0140            0.0008
      10             0.0160            0.0009
      11            -0.0360            0.0015
      12            -0.0008            0.0002
      13            -0.0316            0.0001
      14            -0.6980            0.0001
      15             0.0378            0.0011
      16            -0.0390            0.0001
      17             0.0289            0.0042
      18            -0.0214            0.0015
      19             0.0351            0.0010
      20             0.0003            0.0017
      21             2.4869            0.0012
      22            -0.1028            0.0002

================================================================================
                LC Discrete Choice Model - ML Estimation for SEs

   iteration:  30  
   algorithm: BFGS         step method: STEPBT 
   function:  0.41408      step length:  1.00000      backsteps:  0  
--------------------------------------------------------------------------------
   param.      param. value     relative grad.
       1             1.1744            0.0001
       2            -0.0243            0.0034
       3            -0.1588            0.0000
       4            -0.4021            0.0000
       5             0.1473            0.0001
       6             0.3202            0.0001
       7             0.0932            0.0001
       8             0.0249            0.0007
       9            -0.0134            0.0008
      10             0.0165            0.0008
      11            -0.0313            0.0013
      12            -0.0007            0.0000
      13            -0.0321            0.0004
      14            -0.6560            0.0002
      15             0.0351            0.0009
      16            -0.0366            0.0004
      17             0.0294            0.0025
      18            -0.0219            0.0010
      19             0.0346            0.0007
      20             0.0004            0.0010
      21             2.6090            0.0002
      22            -0.1048            0.0001

================================================================================
                LC Discrete Choice Model - ML Estimation for SEs

   iteration:  40  
   algorithm: BFGS         step method: STEPBT 
   function:  0.41406      step length:  1.00000      backsteps:  0  
--------------------------------------------------------------------------------
   param.      param. value     relative grad.
       1             1.1362            0.0000
       2            -0.0242            0.0002
       3            -0.1579            0.0000
       4            -0.3994            0.0000
       5             0.1736            0.0001
       6             0.3408            0.0000
       7             0.0940            0.0000
       8             0.0246            0.0000
       9            -0.0132            0.0000
      10             0.0160            0.0000
      11            -0.0321            0.0001
      12            -0.0009            0.0000
      13            -0.0310            0.0000
      14            -0.6069            0.0000
      15             0.0350            0.0000
      16            -0.0369            0.0000
      17             0.0282            0.0001
      18            -0.0178            0.0000
      19             0.0344            0.0000
      20             0.0009            0.0001
      21             2.6845            0.0001
      22            -0.1057            0.0000

================================================================================
                LC Discrete Choice Model - ML Estimation for SEs

   iteration:  50  
   algorithm: BFGS         step method: STEPBT 
   function:  0.41406      step length:  1.00000      backsteps:  0  
--------------------------------------------------------------------------------
   param.      param. value     relative grad.
       1             1.1421            0.0000
       2            -0.0243            0.0000
       3            -0.1493            0.0000
       4            -0.3979            0.0000
       5             0.1668            0.0000
       6             0.3532            0.0000
       7             0.0908            0.0000
       8             0.0247            0.0000
       9            -0.0132            0.0000
      10             0.0160            0.0000
      11            -0.0320            0.0000
      12            -0.0009            0.0000
      13            -0.0311            0.0000
      14            -0.6064            0.0000
      15             0.0349            0.0000
      16            -0.0368            0.0000
      17             0.0281            0.0000
      18            -0.0176            0.0000
      19             0.0343            0.0000
      20             0.0009            0.0000
      21             2.6946            0.0000
      22            -0.1058            0.0000

================================================================================
                LC Discrete Choice Model - ML Estimation for SEs

   iteration:  60  
   algorithm: BFGS         step method: STEPBT 
   function:  0.41406      step length:  1.00000      backsteps:  0  
--------------------------------------------------------------------------------
   param.      param. value     relative grad.
       1             1.1467            0.0000
       2            -0.0244            0.0000
       3            -0.1545            0.0000
       4            -0.4006            0.0000
       5             0.1654            0.0000
       6             0.3698            0.0000
       7             0.0932            0.0000
       8             0.0248            0.0000
       9            -0.0132            0.0000
      10             0.0161            0.0000
      11            -0.0321            0.0000
      12            -0.0009            0.0000
      13            -0.0312            0.0000
      14            -0.6116            0.0000
      15             0.0347            0.0000
      16            -0.0368            0.0000
      17             0.0280            0.0000
      18            -0.0173            0.0000
      19             0.0342            0.0000
      20             0.0011            0.0000
      21             2.7014            0.0000
      22            -0.1059            0.0000

===============================================================================
               LC Discrete Choice Model - ML Estimation for SEs                
===============================================================================
 MAXLIK Version 5.0.9                                     11/23/2021   4:51 pm
===============================================================================

return code =    0
normal convergence

Mean log-likelihood       -0.414059
Number of cases     7584

Covariance matrix of the parameters computed by the following method:
QML covariance matrix

Parameters    Estimates     Std. err.  Est./s.e.  Prob.    Gradient
------------------------------------------------------------------
P01              1.1394        0.3328    3.424   0.0006      0.0000
P02             -0.0243        0.0050   -4.891   0.0000      0.0000
P03             -0.1530        0.1515   -1.010   0.3125      0.0000
P04             -0.4007        0.1692   -2.367   0.0179      0.0000
P05              0.1655        0.1576    1.050   0.2939      0.0000
P06              0.3886        0.3952    0.983   0.3254      0.0000
P07              0.0938        0.1256    0.747   0.4551      0.0000
P08              0.0247        0.0071    3.472   0.0005      0.0000
P09             -0.0132        0.0070   -1.899   0.0576      0.0000
P10              0.0160        0.0065    2.465   0.0137      0.0000
P11             -0.0321        0.0167   -1.925   0.0543      0.0000
P12             -0.0009        0.0047   -0.190   0.8493      0.0000
P13             -0.0311        0.0084   -3.716   0.0002      0.0000
P14             -0.6108        0.2216   -2.756   0.0059      0.0000
P15              0.0348        0.0103    3.397   0.0007      0.0000
P16             -0.0368        0.0098   -3.753   0.0002      0.0000
P17              0.0281        0.0083    3.380   0.0007      0.0000
P18             -0.0176        0.0241   -0.728   0.4669      0.0000
P19              0.0343        0.0064    5.370   0.0000      0.0000
P20              0.0010        0.0133    0.073   0.9419      0.0000
P21              2.6942        0.4752    5.670   0.0000      0.0000
P22             -0.1058        0.0069  -15.433   0.0000      0.0000

Correlation matrix of the parameters
   1.000  -0.802  -0.158  -0.118  -0.312  -0.159  -0.048  -0.077  -0.011  -0.070   0.127  -0.158  -0.081  -0.132   0.142  -0.042   0.126  -0.226   0.024   0.125  -0.332   0.155
  -0.802   1.000  -0.009  -0.171   0.101  -0.025  -0.065   0.104  -0.003   0.092  -0.108   0.132   0.012   0.062  -0.105  -0.006  -0.148   0.181  -0.005  -0.117   0.270  -0.124
  -0.158  -0.009   1.000  -0.022   0.034   0.059  -0.267  -0.001   0.052  -0.038  -0.056   0.140  -0.037   0.014  -0.031  -0.043   0.081   0.033  -0.014   0.062   0.087  -0.031
  -0.118  -0.171  -0.022   1.000  -0.007  -0.006  -0.163  -0.057   0.066   0.031   0.048   0.050   0.100  -0.013   0.069   0.060   0.030  -0.075  -0.049   0.011  -0.104   0.025
  -0.312   0.101   0.034  -0.007   1.000  -0.057  -0.334   0.032  -0.053   0.050  -0.056   0.061   0.082  -0.028  -0.091  -0.004  -0.153   0.097  -0.062  -0.034   0.115  -0.002
  -0.159  -0.025   0.059  -0.006  -0.057   1.000   0.030   0.038   0.040  -0.035   0.033  -0.001   0.074   0.041   0.015  -0.008   0.048  -0.030  -0.029  -0.080  -0.056   0.022
  -0.048  -0.065  -0.267  -0.163  -0.334   0.030   1.000  -0.051  -0.005  -0.074   0.017  -0.181  -0.013  -0.024   0.025   0.138   0.076  -0.094  -0.079   0.040  -0.115   0.065
  -0.077   0.104  -0.001  -0.057   0.032   0.038  -0.051   1.000   0.137  -0.058   0.063  -0.132  -0.003  -0.217  -0.175   0.036  -0.096   0.044  -0.061  -0.013   0.138  -0.091
  -0.011  -0.003   0.052   0.066  -0.053   0.040  -0.005   0.137   1.000   0.197   0.148  -0.009  -0.076   0.320  -0.080   0.028  -0.019   0.078   0.044  -0.047   0.078  -0.138
  -0.070   0.092  -0.038   0.031   0.050  -0.035  -0.074  -0.058   0.197   1.000   0.198   0.023   0.093  -0.151  -0.024   0.086  -0.109   0.036   0.031   0.079   0.132  -0.095
   0.127  -0.108  -0.056   0.048  -0.056   0.033   0.017   0.063   0.148   0.198   1.000   0.198  -0.096   0.238  -0.079   0.102   0.006  -0.074  -0.025  -0.026  -0.011  -0.049
  -0.158   0.132   0.140   0.050   0.061  -0.001  -0.181  -0.132  -0.009   0.023   0.198   1.000   0.001  -0.146  -0.069  -0.057  -0.015   0.064   0.005  -0.003   0.074   0.066
  -0.081   0.012  -0.037   0.100   0.082   0.074  -0.013  -0.003  -0.076   0.093  -0.096   0.001   1.000   0.351   0.058   0.082   0.020  -0.037   0.016  -0.137  -0.049   0.018
  -0.132   0.062   0.014  -0.013  -0.028   0.041  -0.024  -0.217   0.320  -0.151   0.238  -0.146   0.351   1.000  -0.084   0.062  -0.067   0.204   0.089  -0.189   0.346  -0.502
   0.142  -0.105  -0.031   0.069  -0.091   0.015   0.025  -0.175  -0.080  -0.024  -0.079  -0.069   0.058  -0.084   1.000  -0.139   0.321  -0.262   0.147   0.135  -0.512   0.208
  -0.042  -0.006  -0.043   0.060  -0.004  -0.008   0.138   0.036   0.028   0.086   0.102  -0.057   0.082   0.062  -0.139   1.000   0.005  -0.162  -0.007   0.032   0.197  -0.098
   0.126  -0.148   0.081   0.030  -0.153   0.048   0.076  -0.096  -0.019  -0.109   0.006  -0.015   0.020  -0.067   0.321   0.005   1.000  -0.328   0.338  -0.021  -0.555   0.342
  -0.226   0.181   0.033  -0.075   0.097  -0.030  -0.094   0.044   0.078   0.036  -0.074   0.064  -0.037   0.204  -0.262  -0.162  -0.328   1.000   0.041  -0.120   0.597  -0.328
   0.024  -0.005  -0.014  -0.049  -0.062  -0.029  -0.079  -0.061   0.044   0.031  -0.025   0.005   0.016   0.089   0.147  -0.007   0.338   0.041   1.000  -0.135  -0.230   0.079
   0.125  -0.117   0.062   0.011  -0.034  -0.080   0.040  -0.013  -0.047   0.079  -0.026  -0.003  -0.137  -0.189   0.135   0.032  -0.021  -0.120  -0.135   1.000   0.176   0.032
  -0.332   0.270   0.087  -0.104   0.115  -0.056  -0.115   0.138   0.078   0.132  -0.011   0.074  -0.049   0.346  -0.512   0.197  -0.555   0.597  -0.230   0.176   1.000  -0.717
   0.155  -0.124  -0.031   0.025  -0.002   0.022   0.065  -0.091  -0.138  -0.095  -0.049   0.066   0.018  -0.502   0.208  -0.098   0.342  -0.328   0.079   0.032  -0.717   1.000

Number of iterations    66
Minutes to convergence     0.05942
CLASS PROBABILITIES:
      0.53239250       0.46760750 
